Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model

Article

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Pourmousavi, S. Ali and Acharya, U. Rajendra. 2024. "Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model." Engineering Applications of Artificial Intelligence. 132. https://doi.org/10.1016/j.engappai.2024.107918

Article Title	Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model
ERA Journal ID	32032
Article Category	Article
Authors	Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Pourmousavi, S. Ali and Acharya, U. Rajendra
Journal Title	Engineering Applications of Artificial Intelligence
Journal Citation	132
Article Number	107918
Number of Pages	26
Year	2024
Publisher	Elsevier
Place of Publication	United Kingdom
ISSN	0952-1976
	1873-6769
Digital Object Identifier (DOI)	https://doi.org/10.1016/j.engappai.2024.107918
Web Address (URL)	https://www.sciencedirect.com/science/article/pii/S0952197624000769
Abstract	Implementing key engineering solutions to optimise the operation of energy industries requires daily electricity demand forecasting and including uncertainty, to promote markets insight analysis as part of their strategic planning, regulating and supplying electricity to consumers. This paper proposes hybrid artificial intelligence models combining convolutional neural networks (CNN) as a feature extraction algorithm with extreme learning machines (ELM) as a framework to predict electricity demand with confidence intervals generated by Kernel Density Estimation (KDE) approaches. In order to develop CELM-KDE model, time-lagged series of daily electricity demand with local climate variables based on the air temperature, atmospheric vapour pressure, evaporation, solar radiation, humidity and sea level pressures are used to train the proposed CELM-KDE hybrid model. In order to fully evaluate the newly developed model from a point-based, as well as a probabilistic prediction strategy, the observed and predicted electricity demand as well as the probability distribution of errors are analysed using KDE method that operates without prior data distribution assumptions. Based on observed and predicted electricity demand and the relevant probabilistic confidence intervals generated by the CELM-KDE model, the final results show that the proposed method attains significantly better probability interval predictions than traditionally-used point-based models. The proposed CELM-KDE model is demonstrated to be highly effective in providing a comprehensive coverage of predicted errors, as well as providing greater insights into the average bandwidth and detailed predicted electricity demand in the testing stage. The results also indicate that the proposed hybrid model is a reliable decision support tool to develop engineering solutions in area of energy modelling, monitoring and forecasting, which could potentially be useful to the industry policymakers. We show that the point-and probabilistic-based electricity demand predictive models can be employed as an effective tool to improve accuracy of forecasting and provision of insights for national electricity markets and key energy industry stakeholder application tools.
Keywords	Convolutional Neural Network; Time-series forecasts; Deep learning; Extreme Learning Machine; Kernel Density Estimation; Prediction interval
Contains Sensitive Content	Does not contain sensitive content
ANZSRC Field of Research 2020	460201. Artificial life and complex adaptive systems
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.
Byline Affiliations	School of Mathematics, Physics and Computing
	Rey Juan Carlos University, Spain
	University of Alcala, Spain
	University of Adelaide
	Kumamoto University, Japan

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Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Ghassemi, Navid, Sadeghi, Delaram, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Hussain, Sadiq, Zare, Assef, Sani, Zahra Alizadeh, Khozeimeh, Fahime, Nahavandi, Saeid, Acharya, U. Rajendra and Gorriz, Juan M.. 2024. "Automated detection and forecasting of COVID-19 using deep learning techniques: A review." Neurocomputing. 577. https://doi.org/10.1016/j.neucom.2024.127317

Automated accurate insomnia detection system using wavelet scattering method using ECG signals

Sharma, Nishant, Sharma, Manish, Telangore, Hardik and Acharya, U Rajendra. 2024. "Automated accurate insomnia detection system using wavelet scattering method using ECG signals." Applied Intelligence. 54 (4), pp. 3464-3481. https://doi.org/10.1007/s10489-024-05284-6

Automated detection of depression using wavelet scattering networks

Sharma, Nishant, Sharma, Manish, Tailor, Jimit, Chaudhari, Arth, Joshi, Deepak and Acharya, U Rajendra. 2024. "Automated detection of depression using wavelet scattering networks." Medical Engineering and Physics. 124. https://doi.org/10.1016/j.medengphy.2024.104107

Sleep disorder identification using wavelet scattering on ECG signals

Sharma, Manish, Lodhi, Harsh, Yadav, Rishita and Acharya, U. Rajendra. 2024. "Sleep disorder identification using wavelet scattering on ECG signals." International Journal of Imaging Systems and Technology. 34 (1). https://doi.org/10.1002/ima.22980

Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals

Seoni, Silvia, Molinari, Filippo, Acharya, U. Rajendra, Oh, Oh Shu, Barua, Prabal Datta, García, Salvador and Salvi, Massimo. 2024. "Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals." Information Sciences. 665. https://doi.org/10.1016/j.ins.2024.120383

Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images

Sasmal, Pradipta, Sharma, Vanshali, Allam, Allam Jaya, Bhuyan, M.K., Patro, Kiran Kumar, Samee, Nagwan Abdel, Alamro, Hayam, Iwahori, Yuji, Tadeusiewicz, Ryszard, Acharya, U. Rajendra and Pławiak, Paweł. 2024. "Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images." Information Sciences. 658. https://doi.org/10.1016/j.ins.2023.120033

Multi-modality approaches for medical support systems: A systematic review of the last decade

Salvi, Massimo, Loh, Hui Wen, Seoni, Silvia, Barua, Prabal Datta, García, Salvador, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Multi-modality approaches for medical support systems: A systematic review of the last decade." Information Fusion. 103. https://doi.org/10.1016/j.inffus.2023.102134

Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)

Salvi, Massimo, Acharya, Madhav R., Seoni, Silvia, Faust, Oliver, Tan, Ru-San, Barua, Prabal Datta, García, Salvador, Molinari, Filippo and Acharya, U. Rajendra Acharya. 2024. "Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)." WIREs Data Mining and Knowledge Discovery. 14 (3). https://doi.org/10.1002/widm.1530

What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors

Roshanzamir, Mohamad, Jafari, Mahboobeh, Alizadehsani, Roohallah, Roshanzamir, Mahdi, Shoeibi, Afshin, Gorriz, Juan M., Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2024. "What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors." Information Systems Frontiers: a journal of research and innovation. https://doi.org/10.1007/s10796-023-10466-7

Using Data Mining Techniques to Analyze Facial Expression Motion Vectors

Roshanzamir, Mohamad, Alizadehsani, Roohallah, Roshanzamir, Mahdi, Shoeibi, Afshin, Gorriz, Juan M., Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2024. "Using Data Mining Techniques to Analyze Facial Expression Motion Vectors." International Conference on the Dynamics of Information Systems. Prague, Czech Republic 03 - 06 Sep 2023 Switzerland . https://doi.org/10.1007/978-3-031-50320-7_1

An automated earthquake classification model based on a new butterfly pattern using seismic signals

Ozkaya, Suat Gokhan, Baygin, Mehmet, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Chakraborty, Subrata and Acharya, U. Rajendra. 2024. "An automated earthquake classification model based on a new butterfly pattern using seismic signals." Expert Systems with Applications. 238 (Part D). https://doi.org/10.1016/j.eswa.2023.122079

Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation

Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir, Acharya, U. Rajendra and Mir, Hasan. 2024. "Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation." IEEE Access. 12, pp. 840-867. https://doi.org/10.1109/ACCESS.2023.3347587

Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals

Kumar, Kamlesh, Kumar, Prince, Patel, Ruchit K., Sharma, Manish, Bajaj, Varun and Acharya, U. Rajendra. 2024. "Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals." IEEE Latin America Transactions (IEEE America Latina. Revista). 22 (3), pp. 186-194. https://doi.org/10.1109/TLA.2024.10431420

GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds

Kilic, Mehmet, Barua, Prabal Datta, Keles, Tugce, Yildiz, Arif Metehan, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Kuluozturk, Mutlu, Tan, Ru-San and Acharya, U. Rajendra. 2024. "GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds." Engineering Applications of Artificial Intelligence. 127 (Part A). https://doi.org/10.1016/j.engappai.2023.107184

Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model

Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. "Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model." Applied Energy. 359. https://doi.org/10.1016/j.apenergy.2024.122624

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023

Jafari, Mahboobeh, Sadeghi, Delaram, Shoeibi, Afshin, Alinejad-Rokny, Hamid, Beheshti, Amin, García, David, Chen, Zhaolin, Acharya, U. Rajendra and Gorriz, Juan M.. 2024. "Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023." Applied Intelligence. 54 (1), pp. 35-79. https://doi.org/10.1007/s10489-023-05155-6

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges

Joloudari, Javad Hassannataj, Mojrian, Sanaz, Saadatfar, Hamid, Nodehi, Issa, Fazl, Fatemeh, Shirkharkolaie, Sahar Khanjani, Alizadehsani, Roohallah, Kabir, H. M. Dipu, Tan, Ru-San and Acharya, U. Rajendra. 2024. "Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges ." Multimedia Tools and Applications. 83 (26), pp. 67953-67996. https://doi.org/10.1007/s11042-024-18123-0

Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images

Gudigar,Anjan, Kadri, Nahrizul Adib, Raghavendra, U., Samanth, Jyothi, Inamdar, Mahesh Anil, Prabhu, Mukund A. . and Acharya, U. Rajendra. 2024. "Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images." IEEE Access. 12, pp. 3659-3671. https://doi.org/10.1109/ACCESS.2023.3349090

Electricity demand error corrections with attention bi-directional neural networks

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2024. "Electricity demand error corrections with attention bi-directional neural networks." Energy. 291. https://doi.org/10.1016/j.energy.2023.129938

Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space

Fallahpoor, Maryam, Chakraborty, Subrata, Pradhan, Biswajeet, Faust, Oliver, Barua, Prabal Datta, Chegeni, Hossein and Acharya, Rajendra. 2024. "Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space." Computer Methods and Programs in Biomedicine. 243. https://doi.org/10.1016/j.cmpb.2023.107880

Novel tiny textural motif pattern-based RNA virus protein sequence classification model

Erten, Mehmet, Aydemir, Emrah, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2024. "Novel tiny textural motif pattern-based RNA virus protein sequence classification model." Expert Systems with Applications. 242. https://doi.org/10.1016/j.eswa.2023.122781

ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals

El-Dahshan, El-Sayed A., Bassiouni, Mahmoud M., Khare, Smith K., Tan, Ru-San and Acharya, U. Rajendra. 2024. "ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals." Expert Systems with Applications. 239. https://doi.org/10.1016/j.eswa.2023.122388

Micromachined Mechanical Resonant Sensors: From Materials, Structural Designs to Applications

Dinh, Toan, Rais-Zadeh, Mina, Nguyen, Thanh, Phan, Hoang-Phuong, Song, Pingan, Deo, Ravinesh, Dao, Dzung, Nguyen, Nam-Trung and Bell, John. 2024. "Micromachined Mechanical Resonant Sensors: From Materials, Structural Designs to Applications." Advanced Materials Technologies. 9 (2). https://doi.org/10.1002/admt.202300913

MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201

Demir, Fahrettin Burak, Baygin, Mehmet, Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Ooi, Chui Ping, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201." Multimedia Tools and Applications. 83 (30), pp. 75061-75083. https://doi.org/10.1007/s11042-024-18416-4

Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation technique

Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker, Cheong, Kang Hao and Acharya, U. Rajendra. 2024. "Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation technique ." Soft Computing. https://doi.org/10.1007/s00500-024-09647-6

Automated anxiety detection using probabilistic binary pattern with ECG signals

Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Hong, Tan Jen, March, Sonja, Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Automated anxiety detection using probabilistic binary pattern with ECG signals." Computer Methods and Programs in Biomedicine. 247. https://doi.org/10.1016/j.cmpb.2024.108076

Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection

Ahadzadeh, Behrouz, Abdar, Moloud, Safara, Fatemeh, Aghaei, Leyla, Mirjalili, Seyedali, Khosravi, Abbas, García, Salvador, Karray, Fakhri and Acharya, U. Rajendra. 2024. "Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection." Applied Soft Computing. 151. https://doi.org/10.1016/j.asoc.2023.111141

AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies

Ardakani, Ali Abbasian, Mohammadi, Afshin, Vogl, Thomas J., Kuzan, Taha Yusuf and Acharya, U Rajendra. 2024. "AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies." Journal of Clinical Ultrasound. 52 (2), pp. 131-143. https://doi.org/10.1002/jcu.23607

MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model

Ji, Xiaopeng, Li, Yan, Wen, Peng, Barua, Prabal and Acharya, U Rajendra. 2024. "MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model ." Computer Methods and Programs in Biomedicine. 244. https://doi.org/10.1016/j.cmpb.2023.107992

Machine learning for expediting next-generation of fire-retardant polymer composites

Jafari, Pooya, Zhang, Ruoran, Huo, Siqi, Wang, Qingsheng, Yong, Jianming, Hong, Min, Deo, Ravinesh, Wang, Hao and Song, Pingan. 2024. "Machine learning for expediting next-generation of fire-retardant polymer composites." Composites Communications. 45. https://doi.org/10.1016/j.coco.2023.101806

Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model

Prasad, Salvin Sanjesh, Deo, Ravinesh Chand, Downs, Nathan James, Casillas-Perez, David, Salcedo-sanz, Sancho and Parisi, Alfio Venerando. 2024. "Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model ." Expert Systems with Applications. 236. https://doi.org/10.1016/j.eswa.2023.121273

Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks

Ali, Mumtaz, Prasad, Ramendra, Jamei, Mehdi, Malik, Anurag, Xiang, Yong, Abdulla, Shahab, Deo, Ravinesh C., Farooque, Aitazaz A. and Labban, Abdulhaleem H.. 2024. "Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks." Renewable Energy. 221. https://doi.org/10.1016/j.renene.2023.119773

Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2024. "Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting." Applied Energy. 353 (Part A). https://doi.org/10.1016/j.apenergy.2023.122059

Automated schizophrenia detection model using blood sample scattergram images and local binary pattern

Tasci, Burak, Tasci, Gulay, Ayyildiz, Hakan, Kamath, Aditya P., Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J., Chakraborty, Subrata . and Acharya, U. Rajendra. 2024. "Automated schizophrenia detection model using blood sample scattergram images and local binary pattern." Multimedia Tools and Applications. 83 (14), p. 42735–42763. https://doi.org/10.1007/s11042-023-16676-0

Hybrid Deep Learning Model for Wave Height Prediction in Australia's Wave Energy Region

Ahmed, Abul Abrar Masrur, Jui, S Janifer Jabin, AL-Musaylh, Mohanad S., Raj, Nawin, Saha, Reepa, Deo, Ravinesh C and Saha, Sanjoy Kumar. 2024. "Hybrid Deep Learning Model for Wave Height Prediction in Australia's Wave Energy Region." Applied Soft Computing. 150. https://doi.org/10.1016/j.asoc.2023.111003

Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection

Kobat, Mehmet Ali, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Kivrak, Tarik, Akin, Yusuf, Bairy, G. Muralidhar, Tan, Ru‑San and Acharya, U. Rajendra. 2024. "Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection." Multimedia Tools and Applications. 83 (12), pp. 35957-35977. https://doi.org/10.1007/s11042-023-16697-9

Novel automated detection of sports activities using shadow videos

Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Ooi, Chui Ping and Acharya, Rajendra U.. 2024. "Novel automated detection of sports activities using shadow videos." Multimedia Tools and Applications. 83 (15), pp. 44933-44954. https://doi.org/10.1007/s11042-023-17407-1

ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images

Barua, Prabal Datta, Kirik, Serkan, Dogan, Sengul, Koc, Canan, Ozkaynak, Fatih, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2024. "ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial images." Multimedia Tools and Applications. 83 (13), pp. 39823-39840. https://doi.org/10.1007/s11042-023-17057-3

Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system

Tatli, Sinan, Macin, Gulay, Tasci, Irem, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system." Expert Systems with Applications. 236. https://doi.org/10.1016/j.eswa.2023.121314

An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features

Sharma, Manish, Bhurane,Ankit A. and Acharya, U. Rajendra. 2024. "An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features." Expert Systems: the journal of knowledge engineering. 41 (5). https://doi.org/10.1111/exsy.12939

Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations

Khare, Smith K., Blanes-Vidal, Victoria, Nadimi, Esmaeil S. and Acharya, U. Rajendra. 2024. "Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102019

Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique

Aksalli, Isil Karabey, Baygin, Nursena, Hagiwara, Yuki, Paul, Jose Kunnel, Iype, Thomas, Barua, Prabal Datta, Koh, Joel E. W., Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2024. "Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique." Cognitive Neurodynamics. 18 (1), pp. 283-404. https://doi.org/10.1007/s11571-023-10005-9

Automated accurate emotion classification using Clefia pattern-based features with EEG signals

Dogan, Abdullah, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Yaman, Orhan, Dogru, Ali Hikmet and Acharya, Rajendra U.. 2024. "Automated accurate emotion classification using Clefia pattern-based features with EEG signals." International Journal of Healthcare Management. 17 (1), pp. 32-45. https://doi.org/10.1080/20479700.2022.2141694

Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review

Barua, Prabal Datta, Jahmunah, Jahmunah, Oh, Oh Shu, Palmer, Elizabeth Emma, Yamakawa, Toshitaka, Kobayashi, Makiko and Acharya, Udyavara Rajendra. 2024. "Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review." Cognitive Neurodynamics. 18 (1), pp. 1-22. https://doi.org/10.1007/s11571-022-09904-0

Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications

Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C. and Salcedo-sanz, Sancho. 2023. "Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications ." Sensors. 23 (24). https://doi.org/10.3390/s23249848

Deep Image Analysis for Microalgae Identification

Soar, Jeffrey, Lih, Oh Shu, Wen, Loh Hui, Ward, Aleth, Sharma, Ekta, Deo, Ravinesh C., Barua, Prabal Datta, Tan, Ru-San, Rinen, Eliezer and Acharya, Rajendra. 2023. "Deep Image Analysis for Microalgae Identification." Lecture notes in computer science. Switzerland . Springer. pp. 280-292

FF-BTP Model for Novel Sound-Based Community Emotion Detection

Yildiz, Arif Metehan, Tanabe, Masayuki, Kobayashi, Makiko, Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "FF-BTP Model for Novel Sound-Based Community Emotion Detection." IEEE Access. 11, pp. 108705-108715. https://doi.org/10.1109/ACCESS.2023.3318751

Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia

Tao, Hai, Al-Hilali, Aqeel Ali, Ahmed, Ali M., Mussa, Zainab Haider, Falah, Mayadah W., Abed, Salwan Ali, Deo, Ravinesh, Jawad, Ali H., Maulud, Khairul Nizam Abdul, Latif, Mohd Talib and Yaseen, Zaher Mundher. 2023. "Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia." Chemosphere. 317. https://doi.org/10.1016/j.chemosphere.2023.137914

Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)

Seoni, Silvia, Jahmunah, Vicnesh, Salvi, Massimo, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2023. "Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)." Computers in Biology and Medicine. 165. https://doi.org/10.1016/j.compbiomed.2023.107441

Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction

Prasad, Salvin S., Deo, Ravinesh C., Salcedo-sanz, Sancho, Downs, Nathan J., Casillas-Perez, David and Parisi, Alfio V.. 2023. "Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction." Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107737

Ampelomyces mycoparasites of powdery mildews–a review

Prahl, Rosa E., Khan, Shahjahan and Deo, Ravinesh C.. 2023. "Ampelomyces mycoparasites of powdery mildews–a review." Canadian Journal of Plant Pathology. 45 (4), pp. 391-404. https://doi.org/10.1080/07060661.2023.2206378

A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction

Pelaez-Rodriguez, C., Perez-Aracil, J., Prieto-Godino, L., Ghimire, S., Deo, R. and Salcedo-sanz, S.. 2023. "A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction." Journal of Wind Engineering and Industrial Aerodynamics. 240. https://doi.org/10.1016/j.jweia.2023.105507

Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients

Oei, Chien Wei, Ng, Eddie Yin Kwee, Shan, Matthew Hok, Tan, Ru-San, Chan, Yam Meng, Chan, Lai Gwen and Acharya, Udyavara Rajendra. 2023. "Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients." Sensors. 23 (18). https://doi.org/10.3390/s23187946

Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef

O’Sullivan, Cherie M., Deo, Ravinesh C. and Ghahramani, Afshin. 2023. "Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-45259-0

Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm

Marcelino, C.G., Leite, G.M.C., Wanner, E.F., Jiménez-Fernández, S. and Salcedo-sanz, S.. 2023. "Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm." Energy. 266. https://doi.org/10.1016/j.energy.2022.126317

Application of ChatGPT in multilingual medical education: How does ChatGPT fare in 2023's Iranian residency entrance examination

Khorshidi, Hamid, Mohammadi, Afshin, Yousem, David M., Abolghasemi, Jamileh, Ansari, Golnoosh, Mirza-Aghazadeh-Attari, Mohammad, Acharya, U Rajendra and Ardakani, Ali Abbasian. 2023. "Application of ChatGPT in multilingual medical education: How does ChatGPT fare in 2023's Iranian residency entrance examination." Informatics in Medicine Unlocked. 41. https://doi.org/10.1016/j.imu.2023.101314

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images

Inamdar, Mahesh Anil, Raghavendra, U., Gudigar, Anjan, Bhandary, Sarvesh, Salvi, Massimo, Deo, Ravinesh C., Barua, Prabal Datta, Ciaccio, Edward J., Molinari, Filippo and Acharya, RU. Rajendra. 2023. "A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images." IEEE Access. 11, pp. 108982-108994. https://doi.org/10.1109/ACCESS.2023.3321273

Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach." Energy Conversion and Management. 297. https://doi.org/10.1016/j.enconman.2023.117707

Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal

Barua, Prabal Datta, Kobayashi, Makiko, Tanabe, Masayuki, Baygin, Mehmet, Paul, Jose Kunnel, Iype, Thomas, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal." IEEE Access. 11, pp. 101359-101372. https://doi.org/10.1109/ACCESS.2023.3315149

A novel tree pattern-based violence detection model using audio signals

Yildiz, Arif Metehan, Barua, Prabal D., Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Ooi, Chui Ping, Fujita, Hamido and Acharya, U. Rajendra. 2023. "A novel tree pattern-based violence detection model using audio signals." Expert Systems with Applications. 224. https://doi.org/10.1016/j.eswa.2023.120031

Application of novel DIRF feature selection algorithm for automated brain disease detection

Yaman, Süleyman, Ünlü, Elif Işılay, Güler, Hasan, Sengur, Abdulkadir and Acharya, U. Rajendra. 2023. "Application of novel DIRF feature selection algorithm for automated brain disease detection." Biomedical Signal Processing and Control. 85. https://doi.org/10.1016/j.bspc.2023.105006

Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022)

Yaacob, Hamwira, Hossain, Farhad, Shari, Sharunizam, Khare, Smith K., Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022)." IEEE Access. 11, pp. 74736-74758. https://doi.org/10.1109/ACCESS.2023.3296382

Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)

Xu, Shuting, Deo, Ravinesh C, Soar, Jeffrey, Barua, Prabal Datta, Faust, Oliver, Homaira, Nusrat, Jaffe, Adam, Kabir, Arm Luthful and Acharya, U. Rajendra. 2023. "Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)." Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107746

Multi-objective squirrel search algorithm for EEG feature selection

Wang, Chao, Li, Songjie, Shi, Miao, Zhao, Jie, Wen, Tao Wen, Acharya, U. Rajendra, Xie, Neng-gang and Cheong, Kang Hao. 2023. "Multi-objective squirrel search algorithm for EEG feature selection." Journal of Computational Science. 73. https://doi.org/10.1016/j.jocs.2023.102140

Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids

Tripathi, Aditya, Kumar, Preetham, Tulsani, Akshat, Chakrapani, Pavithra Kodiyalbail, Maiya, Geetha, Bhandary, Sulatha V., Mayya, Veena, Pathan, Sameena, Achar, Raghavendra and Acharya, U. Rajendra. 2023. "Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids." Diagnostics. 13 (15). https://doi.org/10.3390/diagnostics13152550

Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds

Topaloglu, Ihsan, Barua, Prabal Datta, Yildiz, Arif Metehan, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Gul, Huseyin Fatih, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds." Engineering Applications of Artificial Intelligence. 126. https://doi.org/10.1016/j.engappai.2023.106887

Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals

Tasci, Irem, Tasci, Burak, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, Emmanuel, Elizabeth Emma, Fujita, Hamido and Acharya, U. Rajendra. 2023. "Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals." Information Fusion. 96, pp. 252-268. https://doi.org/10.1016/j.inffus.2023.03.022

Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals

Tasci, Gulay, Loh, Hui Wen, Barua, Prabal Datta, Baygin, Mehmet, Tasci, Burak, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth Emma, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals." Knowledge-Based Systems. 260. https://doi.org/10.1016/j.knosys.2022.110190

QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals

Tasci, Gulay, Gun, Mehmet Veysel, Keles, Tugce, Tasci, Burak Tasci, Barua, Prabal Datta, Tasci, Irem, Dogan, Sengul, Baygin, Mehmet, Palmer, Elizabeth Emma, Tuncer, Turker, Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals." Chaos, Solitons and Fractals. 172. https://doi.org/10.1016/j.chaos.2023.113472

Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images

Sut, Suat Kamil, Koc, Mustafa, Zorlu, Gokhan, Serhatlioglu, Ihsan, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru‑San and Acharya, U. Rajendra. 2023. "Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images." Journal of Digital Imaging. 36 (3), pp. 879-892. https://doi.org/10.1007/s10278-022-00759-9

Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability

Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Li, Yuefeng and Acharya, U. Rajendra. 2023. "Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability." Computer Methods and Programs in Biomedicine. 242. https://doi.org/10.1016/j.cmpb.2023.107771

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Acharya, U. Rajendra and Li, Yuefeng. 2023. "Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment." Brain Informatics. 10 (1). https://doi.org/10.1186/s40708-023-00188-6

Automated detection of scaphoid fractures using deep neural networks in radiographs

Singh, Amanpreet, Ardakani, Ali Abbasian, Loh, Hui Wen, Anamika, P.V., Acharya, U. Rajendra, Kamath, Sidharth and Bhat, Anil K.. 2023. "Automated detection of scaphoid fractures using deep neural networks in radiographs." Engineering Applications of Artificial Intelligence. 122. https://doi.org/10.1016/j.engappai.2023.106165

NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals

Shuvo, Samiul Based, Alam, Syed Samiul, Ayman, Syeda Umme, Chakma, Arbil, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals." Biomedical Signal Processing and Control. 86 (Part C). https://doi.org/10.1016/j.bspc.2023.105272

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Ghassemi, Navid, Moridian, Parisa, Alizadehsani, Roohallah, Ling, Sai Ho, Khosravi, Abbas, Alinejad-Rokny, Hamid, Lam, H.K., Fuller-Tyszkiewicz, Matthew D., Acharya, U. Rajendra, Anderson, Donovan, Zhang, Yudong and Gorriz, Juan Manuel. 2023. "Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review." Information Fusion. 93, pp. 85-117. https://doi.org/10.1016/j.inffus.2022.12.010

Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression

Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Khosravi, Abbas, Zare, Assef, Gorriz, Juan M., Chale-Chale, Amir Hossein, Khadem, Ali and Acharya, U. Rajendra. 2023. "Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression." Cognitive Neurodynamics. 17 (6), p. 1501–152. https://doi.org/10.1007/s11571-022-09897-w

Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)

Sheehy, Joshua, Rutledge, Hamish, Acharya, U. Rajendra, Loh, Hui Wen, Gururajan, Raj, Tao, Xiaohui, Zhou, Xujuan, Li, Yuefeng, Gurney, Tiana and Kondalsamy-Chennakesavan, S.. 2023. "Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)." Artificial Intelligence in Medicine. 139. https://doi.org/10.1016/j.artmed.2023.102536

CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals

Sharma, Manish, Verma, Sarv, Anand, Divyansh, Gadre, Gadre and Acharya, U. Rajendra. 2023. "CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals." Computers in Biology and Medicine. 164. https://doi.org/10.1016/j.compbiomed.2023.107259

Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environment

Sharma, Manish, Patel, Sohamkumar and Acharya, U. Rajendra. 2023. "Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environment." Expert Systems: the journal of knowledge engineering. 40 (4). https://doi.org/10.1111/exsy.12903

Automated detection of schizophrenia using deep learning: a review for the last decade

Sharma, Manish, Patel, Ruchit Kumar, Garg, Akshat, Tan, Ru San and Acharya, U Rajendra. 2023. "Automated detection of schizophrenia using deep learning: a review for the last decade." Physiological Measurement. 44 (3). https://doi.org/10.1088/1361-6579/acb24d

A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank

Sharma, Manish, Makwana, Paresh, Chad, Rajesh Singh and Acharya, U Rajend. 2023. "A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank." Applied Intelligence. 53 (15), pp. 18681-18699. https://doi.org/10.1007/s10489-022-04432-0

Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals

Sharma, Manish, Lodhi, Harsh, Yadav, Rishita, Sampathila, Niranjana, Swathi, K. S. and Acharya, U. Rajendra. 2023. "Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals." IEEE Access. 11, pp. 50946-50961. https://doi.org/10.1109/ACCESS.2023.3278800

Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges

Sharma, Manish, Lodhi, Harsh, Yadav, Rishita, Elphick, Heather and Acharya, U. Rajendra. 2023. "Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges." Computer Methods and Programs in Biomedicine. 235. https://doi.org/10.1016/j.cmpb.2023.107471

Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals

Sharma, Manish, Anand, Divyansh, Verma, Sarv and Acharya, U. Rajendra. 2023. "Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals." Engineering Applications of Artificial Intelligence. 126 (Part C). https://doi.org/10.1016/j.engappai.2023.106903

PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals

Sahin, Sakir Engin, Gulhan, Gokhan, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Faust, Oliver and Acharya, U. Rajendra. 2023. "PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals." Expert Systems: the journal of knowledge engineering. 40 (8). https://doi.org/10.1111/exsy.13312

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

Raghavendra, U., Gudigar, Anjan, Paul, Aritra, Goutham, T.S., Inamdar, Mahesh Anil, Hegde, Ajay, Dev, Aruna, Ooi, Chui Ping, Deo, Ravinesh C., Barua, Prabal Datta, Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives." Computers in Biology and Medicine. 163. https://doi.org/10.1016/j.compbiomed.2023.107063

Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals

Raghavendra, U., Gudigar, Anjan, Chakole, Yashas, Kasula, Praneet, Subha, D. P., Kadri, Nahrizul Adib, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals." Expert Systems: the journal of knowledge engineering. 40 (4). https://doi.org/10.1111/exsy.12803

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images

Patro, Kiran Kumar, Allam, Jaya Prakash, Chakravarthy, Bala, Tadeusiewicz, Ryszard, Acharya, U Rajendra, Hammad,Mohamed, Yildirim, Ozal and Pławiak, Paweł. 2023. "Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images." Information Sciences. 640. https://doi.org/10.1016/j.ins.2023.119005

An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images

Oztekin, Faruk, Katar, Oguzhan, Sadak, Ferhat, Yildirim, Muhammed, Cakar, Hakan, Aydogan, Murat, Ozpolat, Zeynep, Yildirim, Tuba Talo, Yildirim, Ozal, Faust, Oliver and Acharya, U. Rajendra. 2023. "An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images." Diagnostics. 13 (2). https://doi.org/10.3390/diagnostics13020226

PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals

Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir and Acharya, U. Rajendra. 2023. "PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals." Health Information Science and Systems. 11 (1). https://doi.org/10.1007/s13755-023-00224-z

Automated semantic lung segmentation in chest CT images using deep neural network

Murugappan, M., Bourisly, Ali K., Prakash, N. B., Sumithra, M. G. and Acharya, U. Rajendra. 2023. "Automated semantic lung segmentation in chest CT images using deep neural network." Neural Computing and Applications. 35 (21), pp. 15343-15364. https://doi.org/10.1007/s00521-023-08407-1

PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images

Muezzinoglu, Taha, Baygin, Nursena, Tuncer, Ilknur, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth E., Cheong, Kang Hao and Acharya, U. Rajendra. 2023. "PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images." Journal of Digital Imaging. 36 (3), pp. 973-987. https://doi.org/10.1007/s10278-023-00789-x

A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems

Mohan, Neethu, Kumar, S. Sachin, Soman, K. P., Sujadevi, V. G., Poornachandran, Prabaharan and Acharya, Rajendra. 2023. "A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems ." IEEE Access. 11, pp. 39228-39242. https://doi.org/10.1109/ACCESS.2023.3267125

Deep Radiomics Features of Median Nerves for Automated Diagnosis of Carpal Tunnel Syndrome With Ultrasound Images: A Multi-Center Study

Mohammadi, Afshin, Torres-Cuenca, Thomas, Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Acharya, U. Rajendra and Ardakani, Ali Abbasian. 2023. "Deep Radiomics Features of Median Nerves for Automated Diagnosis of Carpal Tunnel Syndrome With Ultrasound Images: A Multi-Center Study." Journal of Ultrasound in Medicine. 42 (10), pp. 2257-2268. https://doi.org/10.1002/jum.16244

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images

Mayya, Veena, Kamath S, Sowmya, Kulkarni, Uma, Surya, Divyalakshmi Kaiyoor and Acharya, U Rajendra. 2023. "An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images." Applied Intelligence. 53 (2), pp. 1548-1566. https://doi.org/10.1007/s10489-022-03490-8

Deep neural network technique for automated detection of ADHD and CD using ECG signal

Loh, Hui Wen, Ooi, Chui Pin, Oh, Shu Lih, Barua, Prabal Datta, Tan, Yi Ren, Molinari, Filippo, March, Sonja, Acharya, U. Rajendra and Fung, Daniel Shuen Sheng. 2023. "Deep neural network technique for automated detection of ADHD and CD using ECG signal." Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107775

EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population

Oh, Shu Lih, Jahmunah, V., Emmanuel, Elizabeth Emma, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, García, Salvador, Molinari, Filippo and Acharya, U. Rajendra. 2023. "EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population." Computers in Biology and Medicine. 164. https://doi.org/10.1016/j.compbiomed.2023.107312

Automated Schizophrenia detection using local descriptors with EEG signals

Kumar, T. Sunil, Rajesh, Kandala N.V.P.S., Maheswari, Shishir, Kanhangad, Vivek and Acharya, U. Rajendra. 2023. "Automated Schizophrenia detection using local descriptors with EEG signals." Engineering Applications of Artificial Intelligence. 117 (Part A). https://doi.org/10.1016/j.engappai.2022.105602

INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals

Kumar, Kamlesh, Gupta, Kapil, Sharma, Manish, Bajaj, Varun and Acharya, U. Rajendra. 2023. "INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals." Medical Engineering and Physics. 119. https://doi.org/10.1016/j.medengphy.2023.104028

FGPat18: Feynman graph pattern-based language detection model using EEG signals

Kirik, Serkan, Dogan, Sengul, Baygin, Mehmet, Barua, Prabal Datta, Demir, Caner Feyzi, Keles, Tugce, Yildiz, Arif Metehan, Baygin, Nursena, Tuncer, Ilknur, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "FGPat18: Feynman graph pattern-based language detection model using EEG signals." Biomedical Signal Processing and Control. 85. https://doi.org/10.1016/j.bspc.2023.104927

ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease

Khozeimeh, Fahime, Alizadehsani, Roohallah, Shirani, Milad, Tartibi, Mehrzad, Shoeibi, Afshin, Alinejad-Rokny, Hamid, Harlapur, Chandrashekhar, Sultanzadeh, Sayed Javed, Khosravi, Abbas, Nahavandi, Saeid, Tan, Ru-San and Acharya, U. Rajendra. 2023. "ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease." Computers in Biology and Medicine. 158. https://doi.org/10.1016/j.compbiomed.2023.106841

Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade

Khare, Smith K., March, Sonja, Barua, Prabal Datta, Gadre, Vikram M. and Acharya, U. Rajendra. 2023. "Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade." Information Fusion. 99. https://doi.org/10.1016/j.inffus.2023.101898

SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals

Khare, Smith K, Bajaj, Varun and Acharya, U Rajendra. 2023. "SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals." Physiological Measurement. 44 (3). https://doi.org/10.1088/1361-6579/acbc06

An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals

Khare, Smith K. and Acharya, U. Rajendra. 2023. "An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals." Computers in Biology and Medicine. 155. https://doi.org/10.1016/j.compbiomed.2023.106676

Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals

Khare, Smith K and Acharya, U. Rajendra. 2023. "Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals." Knowledge-Based Systems. 278. https://doi.org/10.1016/j.knosys.2023.110858

Prognosis prediction in traumatic brain injury patients using machine learning algorithms

Khalili, Hosseinali, Rismani, Maziyar, Nematollahi, Mohammad Ali, Masoudi, Mohammad Sadegh, Asadollahi, Arefeh, Taheri, Reza, Pourmontaseri, Hossein, Valibeygi, Adib, Roshanzamir, Mohamad, Alizadehsani, Roohallah, Niakan, Amin, Andishgar, Aref, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2023. "Prognosis prediction in traumatic brain injury patients using machine learning algorithms." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-28188-w

SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation

Karri, Meghana, Annvarapu, Chandra Sekhara Rao and Acharya, U Rajendra. 2023. "SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation." Applied Intelligence. 53 (12), pp. 15407-15423. https://doi.org/10.1007/s10489-022-04209-5

Skin lesion segmentation using two-phase cross-domain transfer learning framework

Karri, Meghana, Annavarapu, Chandra Sekhara Rao and Acharya, U. Rajendra. 2023. "Skin lesion segmentation using two-phase cross-domain transfer learning framework." Computer Methods and Programs in Biomedicine. 231. https://doi.org/10.1016/j.cmpb.2023.107408

PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI

Kaplan, Ela, Chan, Wai Yee, Altinsoy, Hasan Baki, Baygin, Mehmet, Barua, Prabal Datta, Chakraborty, Subrata, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2023. "PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI." Journal of Digital Imaging. 23, p. 2441–2460. https://doi.org/10.1007/s10278-023-00889-8

ExHiF: Alzheimer's disease detection using exemplar histogram-based features with CT and MR images

Kaplan, Ela, Baygin, Mehmet, Barua, Prabal D., Dogan, Sengul, Tuncer, Turker, Altunisik, Erman, Palmer, Elizabeth Emma and Acharya, U. Rajendra. 2023. "ExHiF: Alzheimer's disease detection using exemplar histogram-based features with CT and MR images." Medical Engineering and Physics. 115. https://doi.org/10.1016/j.medengphy.2023.103971

Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022)

Jui, S. Janifer Jabin, Deo, Ravinesh C. Deo, Barua, Prabal Datta, Devi, Aruna, Soar, Jeffrey and Acharya, U. Rajendra. 2023. "Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022)." IEEE Access. 11, pp. 71905-71924. https://doi.org/10.1109/ACCESS.2023.3294473

Uncertainty quantification in DenseNet model using myocardial infarction ECG signals

Jahmunah, V., Ng, E.Y.K., Tan, Ru-San, Oh, Shu Lih and Acharya, U. Rajendra. 2023. "Uncertainty quantification in DenseNet model using myocardial infarction ECG signals." Computer Methods and Programs in Biomedicine. 229. https://doi.org/10.1016/j.cmpb.2022.107308

Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review

Jahmunah, V., Koh, Joel En Wei, Sudarshan, Vidya K., Raghavendra, U., Gudigar, Anjan, Oh, Shu Lih, Loh, Hui Wen, Faust, Oliver, Barua, Prabal Datta, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review." Biocybernetics and Biomedical Engineering. 43 (1), pp. 82-108. https://doi.org/10.1016/j.bbe.2022.12.002

Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network

Jahmunah, V., Chen, Sylvia, Oh, Shu Lih, Acharya, U. Rajendra and Chowbay, Balram. 2023. "Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network." Computers in Biology and Medicine. 153. https://doi.org/10.1016/j.compbiomed.2023.106548

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review

Jafari, Mahboobeh, Shoeibi, Afshin, Khodatars, Marjane, Ghassemi, Navid, Moridian, Parisa, Alizadehsani, Roohallah, Khosravi, Abbas, Ling, SaiHo, Delfan, Niloufar, Zhang, Yu-Dong, Wang, Shuihua, Gorriz, Juan M., Alinejad-Rokny, Hamid and Acharya, U. Rajendra. 2023. "Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.106998

Emotion recognition in EEG signals using deep learning methods: A review

Jafari, Mahboobeh, Shoeibi, Afshin, Khodatars, Marjane, Bagherzadeh, Sara, Shalbaf, Ahmad, García, David López, Gorriz, Juan M. and Acharya, U. Rajendra. 2023. "Emotion recognition in EEG signals using deep learning methods: A review." Computers in Biology and Medicine. 165. https://doi.org/10.1016/j.compbiomed.2023.107450

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models

Horry, Michael J., Chakraborty, Subrata, Pradhan, Biswajeet, Paul, Manoranjan, Zhu, Jing, Loh, Hui Wen, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models." Sensors. 23 (14). https://doi.org/10.3390/s23146585

FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas

Gudigar, Anjan, Raghavendra, U., Rao, Tejaswi N., Samanth, Jyothi, Rajinikanth, Venkatesan, Satapathy, Suresh Chandra, Ciaccio, E., Chan, Chan Wai and Acharya, U. Rajendra. 2023. "FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas." International Journal of Imaging Systems and Technology. 33 (2), pp. 483-494. https://doi.org/10.1002/ima.22820

Most complicated lock pattern-based seismological signal framework for automated earthquake detection

Gokhan, Suat Gokhan, Baygin, Nursena, Barua, Prabal D., Singh, Arvind R., Bajaj, Mohit, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Most complicated lock pattern-based seismological signal framework for automated earthquake detection." International Journal of Applied Earth Observation and Geoinformation. 118. https://doi.org/10.1016/j.jag.2023.103297

Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization

Kilincer, Ilhan Firat, Ertam, Fatih, Sengur, Abdulkadir, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization." Biocybernetics and Biomedical Engineering. 43 (1), pp. 30-41. https://doi.org/10.1016/j.bbe.2022.11.005

Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction

Erten, Mehmet, Tuncer, Ilknur, Barua, Prabal D., Yildirim, Kubra, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Fujita, Hamido and Acharya, U. Rajendra. 2023. "Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction." Journal of Digital Imaging. 36 (4), pp. 1675-1686. https://doi.org/10.1007/s10278-023-00827-8

Swin-LBP: a competitive feature engineering model for urine sediment classification

Erten, Mehmet, Barua, Praba Datta, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Swin-LBP: a competitive feature engineering model for urine sediment classification." Neural Computing and Applications. 35 (29), pp. 21621-21632. https://doi.org/10.1007/s00521-023-08919-w

Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images

Erdem, Kenan, Kobat, Mehmet Ali, Bilen, Mehmet Nail, Balik, Yunus, Alkan, Sevim, Cavlak, Feyzanur, Poyraz, Ahmet Kursad, Barua, Prabal Datta, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Erten, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images." International Journal of Imaging Systems and Technology. 33 (4), pp. 1144-1159. https://doi.org/10.1002/ima.22914

Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals

Dogan, Sengul, Baygin, Mehmet, Tasci, Burak, Loh, Hui Wen, Barua, Prabal D., Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals." Cognitive Neurodynamics. 17 (3), pp. 647-659. https://doi.org/10.1007/s11571-022-09859-2

An automatic sleep-scoring system in elderly women with osteoporosis fractures using frequency localized finite orthogonal quadrature Fejer Korovkin kernels

Dakhale, Bharti Jogi, Sharma, Manish, Arif, Mohammad, Asthana, Kushagra, Bhurane, Ankit A., Kothari, Ashwin G. and Acharya, U. Rajendra. 2023. "An automatic sleep-scoring system in elderly women with osteoporosis fractures using frequency localized finite orthogonal quadrature Fejer Korovkin kernels." Medical Engineering and Physics. 112. https://doi.org/10.1016/j.medengphy.2023.103956

Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review

Chadaga, Krishnaraj, Prabhu, Srikanth, Sampathila, Niranjana, Nireshwalya, Sumith, Katta, Swathi S., Tan, Ru-San and Acharya, U. Rajendra. 2023. "Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review." Diagnostics. 13 (5). https://doi.org/10.3390/diagnostics13050824

Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals

Baygin, Nursena, Aydemir, Emrah, Barua, Prabal D., Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, Rajendra. 2023. "Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signals." Expert Systems with Applications. 227. https://doi.org/10.1016/j.eswa.2023.120306

Automated facial expression recognition using exemplar hybrid deep feature generation technique

Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker, Cheong, Kang Hao and Acharya, U. Rajendra. 2023. "Automated facial expression recognition using exemplar hybrid deep feature generation technique." Soft Computing. 27 (13), pp. 8721-8737. https://doi.org/10.1007/s00500-023-08230-9

CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals

Baygin, Mehmet, Barua, Prabal Datta, Chakraborty, Subrata, Tuncer, Ilknur, Dogan, Sengul, Palmer, Elizabeth, Tuncer, Turker, Kamath, Aditya, Ciaccio, Edward J and Acharya, U Rajendra. 2023. "CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals ." Physiological Measurement. 44 (3). https://doi.org/10.1088/1361-6579/acb03c

NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers

Barua, Prabal Datta, Dogan, Sengul, Kavuran, Gurkan, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers." Neural Computing and Applications. 35 (30), pp. 22253-22263. https://doi.org/10.1007/s00521-023-08825-1

Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals

Barua, Prabal Datta, Aydemir, Emrah, Dogan, Sengul, Kobat, Mehmet Ali, Demir, Fahrettin Burak, Baygin, Mehmet, Tuncer, Turker, Oh, Shu Lih, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals." International Journal of Machine Learning and Cybernetics. 14 (5), pp. 1651-1668. https://doi.org/10.1007/s13042-022-01718-0

Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels

Barua, Prabal Datta, Aydemir, Emrah, Dogan, Sengul, Erten, Mehmet, Kaysi, Feyzi, Tuncer, Turker, Fujita, Hamido, Palmer, Elizabeth and Acharya, U Rajendra. 2023. "Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels." Neural Computing and Applications. 35 (8), pp. 6065-6077. https://doi.org/10.1007/s00521-022-07999-4

LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals

Atila, Orhan, Deniz, Erkan, Ari, Ali, Sengur, Abdulkadir, Chakraborty, Subrata, Barua, Prabal Datta and Acharya, U. Rajendra. 2023. "LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals." Sensors. 23 (16). https://doi.org/10.3390/s23167032

Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis

Ardakani, Ali Abbasian, Mohammadi, Afshin, Faeghi, Fariborz and Acharya, U. Rajendra. 2023. "Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis." International Journal of Imaging Systems and Technology. 33 (2), pp. 445-464. https://doi.org/10.1002/ima.22843

Swarm Intelligence in Internet of Medical Things: A Review

Alizadehsani, Roohallah, Roshanzamir, Mohamad, Izadi, Navid Hoseini, Gravina, Raffaele, Kabir, H. M. Dipu, Nahavandi, Darius, Alinejad-Rokny, Hamid, Khosravi, Abbas, Acharya, U. Rajendra, Nahavandi, Saeid and Fortino, Giancarlo. 2023. "Swarm Intelligence in Internet of Medical Things: A Review." Sensors. 23 (3). https://doi.org/10.3390/s23031466

Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques

Akbal, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2023. "Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques." Expert Systems with Applications. 225. https://doi.org/10.1016/j.eswa.2023.120089

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection

Abdar, Moloud, Salari, Soorena, Qahremani, Sina, Lam, Hak-Keung, Karray, Fakhri, Hussain, Sadiq, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, Saeid. 2023. "UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection." Information Fusion. 90, pp. 364-381. https://doi.org/10.1016/j.inffus.2022.09.023

Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm

Abdar, Moloud, Mehrzadi, Arash, Goudarzi, Milad, Masoudkabir, Farzad, Rundo, Leonardo, Mamouei, Mohammad, Sala, Evis, Khosravi, Abbas, Makarenkov, Vladimir, Acharya, U. Rajendra, Saadatagah, Seyedmohammad, Naderian, Mohammadreza, García, Salvador, Sarrafzadegan, Nizal and Nahavandi, Saeid. 2023. "Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm." Information Fusion. 97. https://doi.org/10.1016/j.inffus.2023.101813

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification

Abdar, Moloud, Fahami, Mohammad Amin, Rundo, Leonardo, Radeva, Petia, Frangi, Alejandro F., Acharya, U. Rajendra, Khosravi, Abbas, Lam, Hak-Keung, Jung, Alexander and Nahavandi, Saeid. 2023. "Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification." IEEE Transactions on Industrial Informatics. 19 (1), pp. 274-285. https://doi.org/10.1109/TII.2022.3168887

Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models

Ardakani, Ali Abbasian, Mohammadi, Afshin, Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Vogl, Thomas J. and Acharya, U. Rajendra. 2023. "Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models." Journal of Ultrasound in Medicine. 42 (6), pp. 1211-1221. https://doi.org/10.1002/jum.16131

An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies

Ardakani, Ali Abbasian, Mohammadi, Afshin, Mirza-Aghazadeh-Attari, Mohammad and Acharya, U. Rajendra. 2023. "An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies." Computers in Biology and Medicine. 152. https://doi.org/10.1016/j.compbiomed.2022.106438

Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables

Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables." Energy and AI. 14. https://doi.org/10.1016/j.egyai.2023.100302

A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal

Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Key, Sefa, Acharya, U. Rajendra and Cheong, Kang Hao. 2022. "A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal." Sensors. 22 (5). https://doi.org/10.3390/s22052007

Mental performance classification using fused multilevel feature generation with EEG signals

Aydemir, Emrah, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta, Chakraborty, Subrata, Faust, Oliver, Arunkumar, N., Kaysi, Feyzi and Acharya, U. Rajendra. 2023. "Mental performance classification using fused multilevel feature generation with EEG signals." International Journal of Healthcare Management. 16 (4), pp. 574-587. https://doi.org/10.1080/20479700.2022.2130645

Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts

Dogan, Sengul, Barua, Prabal Datta, Baygin, Mehmet, Chakraborty, Subrata, Ciaccio, Edward J., Tuncer, Turker, Kadir, Khairul Azmi Abd, Shah, Mohammad Nazri Md, Azman, Raja Rizal, Lee, Chin Chew, Ng, Kwan Hoong and Acharya, U. Rajendra. 2022. "Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts." Biocybernetics and Biomedical Engineering. 42 (3), pp. 815-828. https://doi.org/10.1016/j.bbe.2022.06.004

Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding

Gudigar, Anjan, U., Raghavendra, Samanth, Jyothi, Vasudeva, Akhila, A. J., Ashwal, Nayak, Krishnananda, Tan, Ru-San, Ciaccio, Edward J., Ooi, Chui Ping, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding." Informatics. 9 (2). https://doi.org/10.3390/informatics9020034

Heart rate variability for medical decision support systems: A review

Faust, Oliver, Hong, Wanrong, Loh, Hui Wen, Xu, Shuting, Tan, Ru-San, Chakraborty, Subrata, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Heart rate variability for medical decision support systems: A review." Computers in Biology and Medicine. 145. https://doi.org/10.1016/j.compbiomed.2022.105407

Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images

Baygin, Mehmet, Yaman, Orhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2022. "Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images." Artificial Intelligence in Medicine. 127. https://doi.org/10.1016/j.artmed.2022.102274

DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals

Akbal, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker and Acharya, U. Rajendra. 2022. "DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals." Expert Systems with Applications. 193, pp. 1-10. https://doi.org/10.1016/j.eswa.2021.116447

Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images

Kobat, Sabiha Gungor, Baygin, Nursena, Yusufoglu, Elif, Baygin, Mehmet, Barua, Prabal Datta, Dogan, Sengul, Yaman, Orhan, Celiker, Ulku, Yildirim, Hakan, Tan, Ru-San, Tuncer, Turker, Islam, Nazrul and Acharya, U. Rajendra. 2022. "Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images." Diagnostics. 12 (8). https://doi.org/10.3390/diagnostics12081975

Automated detection of ADHD: Current trends and future perspective

Loh, Hui Wen, Ooi, Chui Ping, Barua, Prabal Datta, Palmer, Elizabeth E., Molinari, Filippo and Acharya, U. Rajendra. 2022. "Automated detection of ADHD: Current trends and future perspective." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105525

An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds

Barua, Prabal Datta, Karasu, Mehdi, Kobat, Mehmet Ali, Balik, Yunus, Kivrak, Tarik, Baygin, Mehmet, Dogan, Sengul, Demir, Fahrettin Burak, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2022. "An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds." Computers in Biology and Medicine. 146, pp. 1-10. https://doi.org/10.1016/j.compbiomed.2022.105599

CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals

Aydemir, Emrah, Dogan, Sengul, Baygin, Mehmet, Ooi, Chui Ping, Barua, Prabal Datta, Tuncer, Turker and Acharya, U. Rajendra. 2022. "CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals." Healthcare. 10 (4), pp. 1-18. https://doi.org/10.3390/healthcare10040643

Application of photoplethysmography signals for healthcare systems: An in-depth review

Loh, Hui Wen, Xu, Shuting, Faust, Oliver, Ooi, Chui Ping, Barua, Prabal Datta, Chakraborty, Subrata, Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Application of photoplethysmography signals for healthcare systems: An in-depth review." Computer Methods and Programs in Biomedicine. 216, pp. 1-14. https://doi.org/10.1016/j.cmpb.2022.106677

EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals

Tanko, Dahiru, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals." Physiological Measurement. 43 (3), pp. 1-13. https://doi.org/10.1088/1361-6579/ac59dc

An accurate automated speaker counting architecture based on James Webb Pattern

Barua, Prabal Datta, Yildiz, Arif Metehan, Canpolat, Nida, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Tuncer, Ilknur, Tuncer, Turker, Tan, Ru-San, Fujita, Hamido and Acharya, U. Rajendra. 2023. "An accurate automated speaker counting architecture based on James Webb Pattern ." Engineering Applications of Artificial Intelligence. 119. https://doi.org/10.1016/j.engappai.2023.105821

Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images

Faust, Oliver, De Michele, Simona, Koh, Joel E. W., Jahmunah, V., Lih, Oh Shu, Kamath, Aditya P., Barua, Prabal Datta, Ciaccio, Edward J., Lewis, Suzanne K., Green, Peter H., Bhagat, Govind and Acharya, U. Rajendra. 2023. "Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images." Computer Methods and Programs in Biomedicine. 230. https://doi.org/10.1016/j.cmpb.2022.107320

Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography

Tuncer, Ilknur, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San, Yeong, Chai Hong and Acharya, U. Rajendra. 2023. "Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography." Informatics in Medicine Unlocked. 36. https://doi.org/10.1016/j.imu.2022.101158

Role of Artificial Intelligence in COVID-19 Detection

Gudigar, Anjan, Raghavendra, U., Nayak, Sneha, Ooi, Chui Ping, Chan, Wai Yee, Gangavarapu, Mokshagna Rohit, Dharmik, Chinmay, Samanth, Jyothi, Kadri, Nahrizul Adib, Hasikin, Khairunnisa, Barua, Prabal Datta, Chakraborty, Subrata, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Role of Artificial Intelligence in COVID-19 Detection." Sensors. 21 (23). https://doi.org/10.3390/s21238045

A new one-dimensional testosterone pattern-based EEG sentence classification method

Keles, Tugce, Yildiz, Arif Metehan, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Demir, Caner Feyzi, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "A new one-dimensional testosterone pattern-based EEG sentence classification method." Engineering Applications of Artificial Intelligence. 119. https://doi.org/10.1016/j.engappai.2022.105722

Automated accurate fire detection system using ensemble pretrained residual network

Dogan, Sengul, Barua, Prabal Datta, Kutlu, Huseyin, Baygin, Mehmet, Fujita, Hamido, Tuncer, Turker and Acharya, U. Rajendra. 2022. "Automated accurate fire detection system using ensemble pretrained residual network." Expert Systems with Applications. 203. https://doi.org/10.1016/j.eswa.2022.117407

Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images

Kaplan, Ela, Chan, Wai Yee, Dogan, Sengul, Barua, Prabal D., Bulut, Haci Taner, Tuncer, Turker, Cizik, Mert, Tan, Ru-San and Acharya, U Rajendra. 2022. "Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images." Medical Engineering and Physics. 108. https://doi.org/10.1016/j.medengphy.2022.103895

L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets

Barua, Prabal Datta, Tuncer, Ilknur, Aydemir, Emrah, Faust, Oliver, Chakraborty, Subrata, Subbhuraam, Vinithasree, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102510

A review of automated sleep disorder detection

Xu, Shuting, Faust, Oliver, Seoni, Silvia, Chakraborty, Subrata, Barua, Prabal Datta, Loh, Hui Wen, Elphick, Heather, Molinari, Filippo and Acharya, U. Rajendra. 2022. "A review of automated sleep disorder detection." Computers in Biology and Medicine. 150. https://doi.org/10.1016/j.compbiomed.2022.106100

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

Loh, Hui Wen, Ooi, Chui Ping, Seoni, Silvia, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)." Computer Methods and Programs in Biomedicine. 226. https://doi.org/10.1016/j.cmpb.2022.107161

Development of novel automated language classification model using pyramid pattern technique with speech signals

Akbal, Erhan, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "Development of novel automated language classification model using pyramid pattern technique with speech signals." Neural Computing and Applications. 34 (23), pp. 21319-21333. https://doi.org/10.1007/s00521-022-07613-7

Automated detection of pain levels using deep feature extraction from shutter blinds‑based dynamic‑sized horizontal patches with facial images

Barua, Prabal Datta, Baygin, Nursena, Dogan, Sengul, Baygin, Mehmet, Arunkumar, N., Fujita, Hamido, Tuncer, Turker, Tan, Ru‑San, Palmer, Elizabeth, Azizan, Muhammad Mokhzaini Bin, Kadri, Nahrizul Adib and Acharya, U. Rajendra. 2022. "Automated detection of pain levels using deep feature extraction from shutter blinds‑based dynamic‑sized horizontal patches with facial images." Scientific Reports. 12 (1). https://doi.org/10.1038/s41598-022-21380-4

Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database

Barua, Prabal Datta, Keles, Tugce, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Demir, Caner Feyzi, Fujita, Hamido, Tan, Ru-San, Ooi, Chui Ping and Acharya, U. Rajendra. 2023. "Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database." Biomedical Signal Processing and Control. 79 (Part 1). https://doi.org/10.1016/j.bspc.2022.104055

The Great 2011 Thailand flood disaster revisited: Could it have been mitigated by different dam operations based on better weather forecasts?

Loc, Ho Huu, Emadzadeh, Adel, Park, Edward, Nontikansak, Piyanuch and Deo, Ravinesh C.. 2023. "The Great 2011 Thailand flood disaster revisited: Could it have been mitigated by different dam operations based on better weather forecasts? " Environmental Research. 216 (Part 2). https://doi.org/10.1016/j.envres.2022.114493

Comparison of machine learning methods emulating process driven crop models

Johnston, David B., Pembleton, Keith G., Huth, Neil I. and Deo, Ravinesh C.. 2023. "Comparison of machine learning methods emulating process driven crop models ." Environmental Modelling and Software. 162. https://doi.org/10.1016/j.envsoft.2023.105634

A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction

Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh, Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction." Energy. 275, p. 127430. https://doi.org/10.1016/j.energy.2023.127430

Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach

Riaz, Farina, Abdulla, Shahab, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C. and Hopkins, Susan. 2023. "Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach." Sensors. 23 (5), pp. 1-11. https://doi.org/10.3390/s23052753

Near real-time wind speed forecast model with bidirectional LSTM networks

Joseph, Lionel P., Deo, Ravinesh C., Prasad, Ramendra, Salcedo-Sanz, Sancho, Raj, Nawin and Soar, Jeffrey. 2023. "Near real-time wind speed forecast model with bidirectional LSTM networks." Renewable Energy. 204, pp. 39-58. https://doi.org/10.1016/j.renene.2022.12.123

Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images

Deo, Ravinesh C., Karalasingham, Sagthitharan, Casillas-Perez, David, Raj, Narwin and Salcedo-sanz, Sancho. 2023. "Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images." IEEE Access. 11, pp. 5558-5577. https://doi.org/10.1109/ACCESS.2023.3236253

Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition

Diykh, Mohammed, Abdulla, Shahab, Deo, Ravinesh C, Siuly, Siuly and Ali, Mumtaz. 2023. "Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition." Computer Methods and Programs in Biomedicine. 229, pp. 1-11. https://doi.org/https://doi.org/10.1016/j.cmpb.2022.107305

Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression

Deo, Ravinesh C., Ahmed, A.A. Masrur, Casillas-Perez, David, Pourmousavi, S. Ali, Segal, Gary, Yu, Yanshan and Salcedo-sanz, Sancho. 2023. "Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression." Renewable Energy. 203, pp. 113-130. https://doi.org/10.1016/j.renene.2022.12.048

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Li, Li, Gururajan, Raj, Zhou, Xujuan and Acharya, U. Rajendra. 2023. "Remote patient monitoring using artificial intelligence: Current state, applications, and challenges." WIREs Data Mining and Knowledge Discovery. 13 (2). https://doi.org/10.1002/widm.1485

Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm

Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2021. "Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm." IEEE Access. 9, pp. 166695-166708. https://doi.org/10.1109/ACCESS.2021.3135362

Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm

Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm." IEEE Access. 9, pp. 50982-50993. https://doi.org/10.1109/ACCESS.2021.3065939

Pattern recognition describing spatio-temporal drivers of catchment classification for water quality

O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C. and Pembleton, Keith G.. 2023. "Pattern recognition describing spatio-temporal drivers of catchment classification for water quality." Science of the Total Environment. 861, pp. 1-42. https://doi.org/10.1016/j.scitotenv.2022.160240

The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds

Downs, Nathan, Raj, Nawin, Vanos, Jennifer, Parisi, Alfio, Butler, Harry, Deo, Ravinesh, Igoe, Damien, Dexter, Benjamin, Beckman-Downs, Melanie, Turner, Joanna and Dekeyser, Stijn. 2023. "The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds." Photochemistry and Photobiology. 99 (4), pp. 1193-1207. https://doi.org/10.1111/php.13745

Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps

Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C., Salcedo-sanz, Sancho and Soar, Jeffrey. 2022. "Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps." IEEE Access. 10, pp. 119814 - 119825. https://doi.org/10.1109/ACCESS.2022.3221762

Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm

Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2019. "Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm." AMSI Optimise 2019. Perth, Australia 17 - 21 Jun 2019 Perth, Australia.

Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction

Ghimire, Sujan, Nguyen-Huy, Thong, Prasad, Ramendra, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho and Bhandari, Binayak. 2023. "Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction." Cognitive Computation. 15 (2), pp. 645-671. https://doi.org/10.1007/s12559-022-10070-y

Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models

Nguyen-Huy, Thong, Deo, Ravinesh C., Khan, Shahjahan, Devi, Aruna, Adeyinka, Adewuyi Ayodele, Apan, Armando A. and Yaseen, Zaher Mundher. 2022. "Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models." IEEE Access. 10, pp. 45112 -45136. https://doi.org/10.1109/ACCESS.2022.3168322

Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia

Murray, Xavier, Apan, Armando, Deo, Ravinesh and Maraseni, Tek. 2022. "Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia." Geocarto International. 37 (26), pp. 11223-11252. https://doi.org/10.1080/10106049.2022.2048902

Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization

Ahmadianfar, Iman, Noori, Ramzia Majeed, Togun, Hussein, Falah, Mayadah W., Homod, Raad Z., Fu, Minglei, Halder, Bijay, Deo, Ravinesh and Yaseen, Zaher Mundher. 2022. "Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization." Knowledge-Based Systems. 250, pp. 1-18. https://doi.org/10.1016/j.knosys.2022.109048

Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach

Khosravi, Khabat, Golkarian, Ali, Melesse, Assefa M. and Deo, Ravinesh C.. 2022. "Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach." Journal of Hydrology. 610, pp. 1-14. https://doi.org/10.1016/j.jhydrol.2022.127963

Delineating the Crop-Land Dynamic due to Extreme Environment Using Landsat Datasets: A Case Study

Halder, Bijay, Bandyopadhyay, Jatisankar, Afan, Haitham Abdulmohsin, Naser, Maryam H., Abed, Salwan Ali, Khedher, Khaled Mohamed, Falih, Khaldoon T., Deo, Ravinesh, Scholz, Miklas and Yaseen, Zaher Mundher. 2022. "Delineating the Crop-Land Dynamic due to Extreme Environment Using Landsat Datasets: A Case Study." Agronomy. 12 (6), pp. 1-23. https://doi.org/10.3390/agronomy12061268

Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction

Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Prasad, Ramendra, Li, Jianxin, Farooque, Aitazaz and Yaseen, Zaher Mundher. 2022. "Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction." Scientific Reports. 12 (1), pp. 1-23. https://doi.org/10.1038/s41598-022-09482-5

Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network

Deo, Ravinesh C., Grant, Richard H., Webb, Ann, Ghimire, Sujan, Igoe, Damien P., Downs, Nathan J., Al-Musaylh, Mohanad S., Parisi, Alfio V. and Soar, Jeffrey. 2022. "Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network." Stochastic Environmental Research and Risk Assessment. 36, p. 3183–3220. https://doi.org/10.1007/s00477-022-02188-0

Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction

Ghimire, Sujan, Deo, Ravinesh C, Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction." Renewable Energy. 190, pp. 408-424. https://doi.org/10.1016/j.renene.2022.03.120

Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model

Ghimire, Sujan, Nguyen-Huy, Thong, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model." Sustainable Materials and Technologies. 32, pp. 1-24. https://doi.org/10.1016/j.susmat.2022.e00429

Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia

Ghimire, Sujan, Bhandari, Binayak, Casillas-Perez, David, Deo, Ravinesh C. and Salcedo-sanz, Sancho. 2022. "Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia." Engineering Applications of Artificial Intelligence. 112, pp. 1-26. https://doi.org/10.1016/j.engappai.2022.104860

Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms." Applied Energy. 316, pp. 1-25. https://doi.org/10.1016/j.apenergy.2022.119063

Machine learning regression and classification methods for fog events prediction

Castillo-Boton, C., Casillas-Perez, D., Casanova-Mateo, C., Ghimire, S., Cerro-Prada, E., Gutierrez, P. A., Deo, R. C. and Salcedo-sanz, S.. 2022. "Machine learning regression and classification methods for fog events prediction." Atmospheric Research. 272, pp. 1-23. https://doi.org/10.1016/j.atmosres.2022.106157

FedStack: Personalized Activity Monitoring using Stacked Federated Learning

Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Gururajan, Raj, Li, Yuefeng, Zhou, Xujuan and Acharya, U Rajendra. 2022. "FedStack: Personalized Activity Monitoring using Stacked Federated Learning." Knowledge-Based Systems. 257, pp. 1-14. https://doi.org/10.1016/j.knosys.2022.109929

Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing

Riaz, Farina, Abdulla, Shahab, Ni, Wei, Radfar, Mohsen, Deo, Ravinesh and Hopkins, Susan. 2022. "Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing." Quantum Australia Conference 2022. Online 23 - 25 Feb 2022 Toowoomba, Australia. https://doi.org/10.13140/RG.2.2.34754.66245

Novel nested patch-based feature extraction model for automated Parkinson’s Disease symptom classification using MRI images

Kaplan, Ela, Altunisik, Erman, Firat, Yasemin Ekmekyapar, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Demir, Fahrettin Burak, Tuncer, Turker, Palmer, Elizabeth, Tan, Ru-San, Yu, Ping, Soar, Jeffrey, Fujita, Hamido and Acharya, U. Rajendra. 2022. "Novel nested patch-based feature extraction model for automated Parkinson’s Disease symptom classification using MRI images." Computer Methods and Programs in Biomedicine. 224, pp. 1-11. https://doi.org/10.1016/j.cmpb.2022.107030

Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction

Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Sharma, Ekta and Ali, Mumtaz. 2022. "Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction." Measurement. 202, pp. 1-22. https://doi.org/10.1016/j.measurement.2022.111759

Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin

Lu, Zhixiang, Feng, Qi, Wei, Yongping, Zhao, Yan, Deo, Ravinesh C., Xie, Jiali, Zhou, Sha, Zhu, Meng and Xu, Min. 2022. "Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin." Science of the Total Environment. 851 (Part 2), pp. 1-8. https://doi.org/10.1016/j.scitotenv.2022.158359

Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model

Ahmed, Abul Abrar Masrur, Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J., Devi, Aruna, Barua, Prabal D. and Yaseen, Zaher M.. 2022. "Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model." Sustainability. 14 (17), pp. 1-27. https://doi.org/10.3390/su141711070

Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors

Ahmed, A. A. Masrur, Sharma, Ekta, Jui, S. Janifer Jabin, Deo, Ravinesh C., Nguyen-Huy, Thong and Ali, Mumtaz. 2022. "Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors." Remote Sensing. 14 (5), pp. 1-24. https://doi.org/10.3390/rs14051136

Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System

Prasad, Salvin S., Deo, Ravinesh C., Downs, Nathan, Igoe, Damien, Parisi, Alfio V. and Soar, Jeffrey. 2022. "Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System." IEEE Access. 10, pp. 24704-24720. https://doi.org/10.1109/ACCESS.2022.3153475

Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data

Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2022. "Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data." Journal of Hydrology. 607, pp. 1-19. https://doi.org/10.1016/j.jhydrol.2022.127534

Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects

Bhagat, Suraj Kumar, Tiyasha, Tiyasha, Kumar, Adarsh, Malik, Tabarak, Jawad, Ali H., Khedher, Khaled Mohamed, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2022. "Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects." Journal of Environmental Management. 309, pp. 1-16. https://doi.org/10.1016/j.jenvman.2022.114711

An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis

Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2022. "An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis." Frontiers in Neuroinformatics. 15, pp. 1-15. https://doi.org/10.3389/fninf.2021.808339

Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results

Ghimire, Sujan, Deo, Ravinesh C., Wang, Hua, Al-Musaylh, Mohanad S., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results." Energies. 15 (3), pp. 1-39. https://doi.org/10.3390/en15031061

Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals

Diykh, Mohammed, Miften, Firas Sabar, Abdulla, Shahab, Deo, Ravinesh C., Siuly, Siuly, Green, Jonathan H. and Oudah, Atheer Y.. 2022. "Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals." Measurement. 190 (110731), pp. 1-13. https://doi.org/10.1016/j.measurement.2022.110731

Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data

O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C., Pembleton, Keith, Khan, Urooj and Tuteja, Narendra. 2022. "Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data." Science of the Total Environment. 809, pp. 1-15. https://doi.org/10.1016/j.scitotenv.2021.151139

Domino effect of climate change over two millennia in ancient China’s Hexi Corridor

Feng, Qi, Yan, Linshan, Deo, Ravinesh C., AghaKouchak, Amir, Adamowski, Jan F., Stone, Roger, Yin, Zhenliang, Liu, Wei, Si, Jianhua, Wen, Xiaohu, Zhu, Meng and Cao, Shixiong. 2019. "Domino effect of climate change over two millennia in ancient China’s Hexi Corridor." Nature Sustainability. 2, pp. 957-961. https://doi.org/10.1038/s41893-019-0397-9

Bat algorithm for dam–reservoir operation

Ethteram, Mohammad, Mousavi, Sayed-Farhad, Karami, Hojat, Farzin, Saeed, Deo, Ravinesh, Othman, Faridah Binti, Chau, Kwok-Wing, Sarkamaryan, Saeed, Singh, Vijay P. and El-Shafie, Ahmed. 2018. "Bat algorithm for dam–reservoir operation." Environmental Earth Sciences. 77 (13), pp. 1-15. https://doi.org/10.1007/s12665-018-7662-5

Characteristics of ecosystem water use efficiency in a desert riparian forest

Ma, Xiaohong, Feng, Qi, Su, Yonghong, Yu, Tengfei and Deo, Ravinesh C.. 2018. "Characteristics of ecosystem water use efficiency in a desert riparian forest." Environmental Earth Sciences. 77 (358). https://doi.org/10.1007/s12665-018-7518-z

The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River

Diop, Lamine, Bodian, Ansoumana, Djaman, Koffi, Yaseen, Zaher Mundher, Deo, Ravinesh C., El-Shafie, Ahmed and Brown, Larry C.. 2018. "The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River." Environmental Earth Sciences. 77 (5). https://doi.org/10.1007/s1266

Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River

Raheli, Bahare, Aalami, Mohammad Taghi, El-Shafie, Ahmed, Ghorbani, Mohammad Ali and Deo, Ravinesh C.. 2017. "Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River." Environmental Earth Sciences. 76 (14). https://doi.org/10.1007/s12665-017-6842-z

Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots

Sharma, Ekta, Deo, Ravinesh C., Soar, Jeffrey, Prasad, Ramendra, Parisi, Alfio V. and Raj, Nawin. 2022. "Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots." Atmospheric Environment. 279, pp. 1-13. https://doi.org/10.1016/j.atmosenv.2022.119111

New double decomposition deep learning methods for river water level forecasting

Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Feng, Qi, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "New double decomposition deep learning methods for river water level forecasting." Science of the Total Environment. 831, pp. 1-21. https://doi.org/10.1016/j.scitotenv.2022.154722

A novel genetic algorithm based system for the scheduling of medical treatments

Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan and Acharya, Udyavara Rajendra. 2022. "A novel genetic algorithm based system for the scheduling of medical treatments." Expert Systems with Applications. 195, pp. 1-12. https://doi.org/10.1016/j.eswa.2021.116464

Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images

Bargshady, Ghazal, Zhou, Xujuan, Barua, Prabal Datta, Gururajan, Raj, Li, Yuefeng and Acharya, U. Rajendra. 2022. "Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images." Pattern Recognition Letters. 153, pp. 67-74. https://doi.org/10.1016/j.patrec.2021.11.020

Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals

Zitouni, M. Sami, Oh, Shu Li, Vicnesh, Jahmunah, Khandoker, Ahsan and Acharya, U. Rajendra. 2022. "Automated recognition of major depressive disorder from cardiovascular and respiratory physiological signals." Frontiers in Psychiatry. 13. https://doi.org/10.3389/fpsyt.2022.970993

Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques

Vidhya, V, Raghavendra, U., Gudigar, Anjan, Kasula, Praneet, Chakole, Yashas, Hegde, Ajay, Menon, Girish, Ooi, Chui Ping, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques." Informatics. 9 (1). https://doi.org/10.3390/informatics9010004

Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals

Uyanık, Hakan, Ozcelik, Salih Taha A., Duranay, Zeynep Bala Duranay, Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102508

Tetromino pattern based accurate EEG emotion classification model

Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet and Acharya, U. Rajendra. 2022. "Tetromino pattern based accurate EEG emotion classification model." Artificial Intelligence in Medicine. 123. https://doi.org/10.1016/j.artmed.2021.102210

Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques

Tuncer, Turker, Dogan, Sengul, Akbal, Erhan, Cicekli, Abdullah and Acharya, U. Rajendra. 2022. "Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques." Neural Computing and Applications. 34 (6), pp. 4875-4888. https://doi.org/10.1007/s00521-021-06678-0

Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review

Sudarshan, Vidya K., Raghavendra, U., Gudigar, Anjan, Ciaccio, Edward J., Vijayananthan, Anushya, Sahathevan, Ramesh and Acharya, U. Rajendra. 2022. "Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review." Biocybernetics and Biomedical Engineering. 42 (3), pp. 888-901. https://doi.org/10.1016/j.bbe.2022.07.001

Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection

Sobahi, Nebras, Sengur, Abdulkadir, Tan, Ru-San and Acharya, U. Rajendra. 2022. "Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105335

Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds

Sobahi, Nebras, Atila, Orhan, Deniz, Erkan, Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds." Biocybernetics and Biomedical Engineering. 42 (3), pp. 1066-1080. https://doi.org/10.1016/j.bbe.2022.08.005

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

Shoeibi, Afshin, Moridian, Parisa, Khodatars, Marjane, Ghassemi, Navid, Jafari, Mahboobeh, Alizadehsani, Roohallah, Kong, Yinan, Gorriz, Juan Manuel, Ramírez, Javier, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works." Computers in Biology and Medicine. 149. https://doi.org/10.1016/j.compbiomed.2022.106053

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Alizadehsani, Roohallah, Zare, Assef, Khosravi, Abbas, Subasi, Abdulhamit, Acharya, U. Rajendra and Gorriz, Juan M.. 2022. "Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies." Biomedical Signal Processing and Control. 73. https://doi.org/10.1016/j.bspc.2021.103417

An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More than 8000 Subjects

Sharma, Manish, Yadav, Anuj, Tiwari, Jainendra, Karabatak, Murat, Yildirim, Ozal and Acharya, U. Rajendra. 2022. "An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More than 8000 Subjects." International Journal of Environmental Research and Public Health. 19 (12). https://doi.org/10.3390/ijerph19127176

Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals

Sharma, Manish, Kumbhani, Divyash, Tiwari, Jainendra, Kumar, T. Sudheer and Acharya, U. Rajendra. 2022. "Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals." Computers in Biology and Medicine. 144. https://doi.org/10.1016/j.compbiomed.2022.105364

Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends

Sharma, Manish, Kumar, Kamlesh, Kumar, Prince, Tan, Ru-San and Acharya, U Rajendra. 2022. "Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends." Physiological Measurement. 43 (11). https://doi.org/10.1088/1361-6579/ac98f0

Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals

Sharma, Manish, Darji, Jay, Thakrar, Madhav and Acharya, U. Rajendra. 2022. "Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105224

Automated sleep apnea detection in pregnant women using wavelet-based features

Sharma, Manish, Bapodara, Sagar, Tiwari, Jainendra and Acharya, U. Rajendra. 2022. "Automated sleep apnea detection in pregnant women using wavelet-based features." Informatics in Medicine Unlocked. 32. https://doi.org/10.1016/j.imu.2022.101026

MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

Senousy, Zakaria, Abdelsamea, Mohammed M., Gaber, Mohamed Medhat, Abdar, Moloud, Acharya, U. Rajendra, Khosravi, Abbas and Nahavandi, Saeid. 2022. "MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification." IEEE Transactions on Biomedical Engineering. 69 (2), pp. 818-829. https://doi.org/10.1109/TBME.2021.3107446

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works

Sadeghi, Delaram, Shoeibi, Afshin, Ghassemi, Navid, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Teshnehlab, Mohammad, Gorriz, Juan M., Khozeimeh, Fahime, Zhang, Yu-Dong, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105554

Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review

Sadak, Omer, Sadak, Ferhat, Yildirim, Ozal, Iverson, Nicole M., Qureshi, Rizwan, Talo, Muhammed, Ooi, Chui Ping, Acharya, U. Rajendra, Gunasekaran, Sundaram and Alam, Tanvir. 2022. "Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review." IEEE Access. 10, pp. 98633-98648. https://doi.org/10.1109/ACCESS.2022.3207207

Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images

Rao, B. Nageswara, Mohanty, Sudhansu, Sen, Kamal, Acharya, U. Rajendra, Cheong, Kang Hao and Sabut, Sukanta. 2022. "Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images." Computational and Mathematical Methods in Medicine. 2022. https://doi.org/10.1155/2022/3560507

Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals

Rajput, Jaypal Singh, Sharma, Manish, Kumar, T. Sudheer and Acharya, U. Rajendra. 2022. "Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals." International Journal of Environmental Research and Public Health. 19 (7). https://doi.org/10.3390/ijerph19074014

Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study

Raghavendra, U., Gudigar, Anjan, Rao, Tejaswi N., Rajinikanth, V., Ciaccio, Edward J., Yeong, Chai Hong, Satapathy, S.C., Molinari, Filippo and Acharya, U. Rajendra. 2022. "Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study." International Journal of Imaging Systems and Technology. 32 (2), pp. 501-516. https://doi.org/10.1002/ima.22646

Automated diagnosis of coronary artery disease using scalogram-based tensor decomposition with heart rate signals

Nesaragi, Naimahmed, Sharma, Ashish, Patidar, Shivnarayan and Acharya, U. Rajendra. 2022. "Automated diagnosis of coronary artery disease using scalogram-based tensor decomposition with heart rate signals." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103811

Application of artificial intelligence in wearable devices: Opportunities and challenges

Nahavandi, Darius, Alizadehsani, Roohallah, Khosravi, Abbas and Acharya, U. Rajendra. 2022. "Application of artificial intelligence in wearable devices: Opportunities and challenges." Computer Methods and Programs in Biomedicine. 213. https://doi.org/10.1016/j.cmpb.2021.106541

Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network

Murarka, Shruti, Wadichar, Aditya, Bhurane, Ankit, Sharma, Manish and Acharya, U. Rajendra. 2022. "Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105594

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

Moridian, Parisa, Ghassemi, Navid, Jafari, Mahboobeh, Salloum-Asfar, Salam, Sadeghi, Delar, Khodatars, Marjane, Shoeibi, Afshin, Khosravi, Abbas, Ling, Sai Ho, Subasi, Abdulhamit, Alizadehsani, Roohallah, Gorriz, Juan M., Abdulla, S.A. and Acharya, U. Rajendra. 2022. "Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review." Frontiers in Molecular Neuroscience. 15. https://doi.org/10.3389/fnmol.2022.999605

RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights

Moravvej, Seyed Vahid, Alizadehsani, Roohallah, Khanam, Sadia, Sobhaninia, Zahra, Shoeibi, Afshin, Khozeimeh, Fahime, Sani, Zahra Alizadeh, Tan, Ru-San, Khosravi, Abbas, Nahavandi, Saeid, Kadri, Nahrizul Adib, Azizan, Muhammad Mokhzaini, Arunkumar, N. and Acharya, U. Rajendra. 2022. "RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights." Contrast Media and Molecular Imaging. 2022. https://doi.org/10.1155/2022/8733632

Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?

Mohammadi, A., Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Homayoun, Hasan, Abolghasemi, Jamileh, Vogl, Thomas J., Bureau, Nathalie J., Bakhshandeh, Mohsen, Acharya, Rajendra U. and Ardakani, Ali Abbasian. 2022. "Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?" Journal of Ultrasound in Medicine. 41 (12), pp. 3079-3090. https://doi.org/10.1002/jum.16086

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images

Maithri, M., Balla, Dhanush G., Kumar, Santhosh, Raghavendra, U., Gudigar, Anjan, Chan, Wai Yee, Macherla, Shravya, Vineetha, Ravindranath, Gopalkrishna, Pratibha, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images." Computation. 10 (1). https://doi.org/10.3390/computation10010008

Transfer learning techniques for medical image analysis: A review

Kora, Padmavathi, Ooi, Chui Ping, Faust, Oliver, Raghavendra, U., Gudigar, Anjan, Chan, Wai Yee, Meenakshi, K., Swaraja, K., Plawiak, Pawel and Acharya, U. Rajendra. 2022. "Transfer learning techniques for medical image analysis: A review." Biocybernetics and Biomedical Engineering. 42 (1), pp. 79-107. https://doi.org/10.1016/j.bbe.2021.11.004

RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance

Khozeimeh, Fahime, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloud, Javad Hassannataj, Shoeibi, Afshin, Alizadehsani, Roohallah, Tartibi, Mehrzad, Hussain, Sadiq, Sani, Zahra Alizadeh, Khodatars, Marjane, Sadeghi, Delaram, Khosravi, Abbas, Nahavandi, Saeid, Tan, Ru‑San, Acharya, U. Rajendra and Islam, Sheikh Mohammed Shariful. 2022. "RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance." Scientific Reports. 12 (1). https://doi.org/10.1038/s41598-022-15374-5

Multi-class nucleus detection and classification using deep convolutional neural network with enhanced high dimensional dissimilarity translation model on cervical cells

Karri, M., Annavarapu, Chandra Sekhara Rao, Mallik, Saurav, Zhao, Zhongming and Acharya, U. Rajendra. 2022. "Multi-class nucleus detection and classification using deep convolutional neural network with enhanced high dimensional dissimilarity translation model on cervical cells." Biocybernetics and Biomedical Engineering. 42 (3), pp. 797-814. https://doi.org/10.1016/j.bbe.2022.06.003

Explainable multi-module semantic guided attention based network for medical image segmentation

Karri, Meghana, Annavarapu, Chandra Sekhara Rao and Acharya, U. Rajendra. 2022. "Explainable multi-module semantic guided attention based network for medical image segmentation." Computers in Biology and Medicine. 151 (Part A). https://doi.org/10.1016/j.compbiomed.2022.106231

The internet of medical things and artificial intelligence: trends, challenges, and opportunities

Kakhi, Kourosh, Alizadehsani, Roohallah, Kabir, H.M. Dipu, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "The internet of medical things and artificial intelligence: trends, challenges, and opportunities." Biocybernetics and Biomedical Engineering. 42 (3), pp. 749-771. https://doi.org/10.1016/j.bbe.2022.05.008

Aleatory-aware deep uncertainty quantification for transfer learning

Kabir, H M Dipu, Khanam, Sadia, Khozeimeh, Fahime, Khosravi, Abbas, Mondal, Subrota Kumar, Nahavandi, Saeid and Acharya, U. Rajendra. 2022. "Aleatory-aware deep uncertainty quantification for transfer learning." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105246

Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study

Homayoun, Hassan, Chan, Wai Yee, Kuzan, Taha Yusuf, Leong, Wai Ling, Altintoprak, Kübra Murzoglu, Mohammadi, Afshin, Vijayananthan, Anushya, Rahmat, Kartini, Leong, Sook Sam, Mirza-Aghazadeh-Attari, Mohammad, Ejtehadifar, Sajjad, Faeghi, Fariborz, Acharya, U. Rajendra and Ardakani, Ali Abbasian. 2022. "Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study." Biocybernetics and Biomedical Engineering. 42 (3), pp. 921-933. https://doi.org/10.1016/j.bbe.2022.07.004

Application of artificial intelligence techniques for automated detection of myocardial infarction: a review

Joloudari, Javad Hassannataj, Mojrian, Sanaz, Nodehi, Issa, Mashmool, Amir, Zadegan, Zeynab Kiani, Shirkharkolaie, Sahar Khanjani, Alizadehsani, Roohallah, Tamadon, Tahereh, Khosravi, Samiyeh, Kohnehshari, Mitra Akbari, Hassannatajjeloudari, Edris, Sharifrazi, Danial, Mosavi, Amir, Loh, Hui Wen, Tan, Ru-San and Acharya, U Rajendra. 2022. "Application of artificial intelligence techniques for automated detection of myocardial infarction: a review." Physiological Measurement. 43 (8). https://doi.org/10.1088/1361-6579/ac7fd9

Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts

Hamyoon, Hessam, Chan, Wai Yee, Mohammadi, Afshin, Kuzan, Taha, Mirza-Aghazadeh-Attari, Mohammad, Leong, Wai Ling, Altintoprak, Kübra Murzoglu, Vijayananthan, Anushya, Rahmat, Kartini, Mumin, Nazimah Ab, Leong, Sook Sam, Ejtehadifar, Sajjad, Faeghi, Fariborz, Abolghasemi, Jamileh, Ciaccio, Edward J., Acharya, U. Rajendra and Ardakani, Ali Abbasian. 2022. "Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts." European Journal of Radiology. 157. https://doi.org/10.1016/j.ejrad.2022.110591

Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals

Gupta, Kapil, Bajaj, Varun, Ansari, Irshad Ahmad and Acharya, U. Rajendra. 2022. "Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals." Biocybernetics and Biomedical Engineering. 42 (3), pp. 784-796. https://doi.org/10.1016/j.bbe.2022.06.001

Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques

Gudigar, Anjan, Raghavendra, U., Samanth, Jyothi, Dharmik, Chinmay, Gangavarapu, Mokshagna Rohit, Nayak, Krishnananda, Ciaccio, Edward J., Tan, Ru-San, Molinari, Filippo and Acharya, U. Rajendra. 2022. "Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques." Journal of Imaging. 8 (4). https://doi.org/10.3390/jimaging8040102

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images

El-Dahshan, El-Sayed. A, Bassiouni, Mahmoud. M, Hagag, Ahmed, Chakrabortty, Ripon K, Loh, Huiwen and Acharya, U.Rajendra. 2022. "RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images." Expert Systems with Applications. 204. https://doi.org/10.1016/j.eswa.2022.117410

Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset

Deniz, Erkan, Sobahi, Nebras, Omar, Naaman, Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset." Health Information Science and Systems. 10 (1). https://doi.org/10.1007/s13755-022-00201-y

Efficient deep neural network model for classification of grasp types using sEMG signals

Coskun, Musab, Yildirim, Ozal, Demir, Yakup and Acharya, U. Rajendra. 2022. "Efficient deep neural network model for classification of grasp types using sEMG signals." Journal of Ambient Intelligence and Humanized Computing. 13 (9), pp. 4437-4450. https://doi.org/10.1007/s12652-021-03284-9

Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms

Chabane, Nail, Bouaoun, Achraf, Tighilt, Reda, Abdar, Moloud, Boc, Alix, Lord, Etienne, Tahiri, Nadia, Mazoure, Bogdan, Acharya, U. Rajendra and Makarenkov, Vladimir. 2022. "Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms." PLoS One. 17 (12). https://doi.org/10.1371/journal.pone.0278364

Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features

Bhurane, Ankit A., Dhok, Shivani, Sharma, Manish, Yuvaraj, Rajamanickam, Murugappan, Murugappan and Acharya, U. Rajendra. 2022. "Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features." Expert Systems: the journal of knowledge engineering. 39 (7). https://doi.org/10.1111/exsy.12472

Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals

Ari, Berna, Sobahi, Nebras, Alcin, Ömer F., Sengur, Abdulkadir and Acharya, U. Rajendra. 2022. "Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals." Computers in Biology and Medicine. 143. https://doi.org/10.1016/j.compbiomed.2022.105311

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries

Alizadehsani, Roohallah, Roshanzamir, Mohamad, Abdar, Moloud, Beykikhoshk, Adham, Khosravi, Abbas, Nahavandi, Saeid, Plawiak, Pawel, Tan, Ru San and Acharya, Rajendra. 2022. "Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries." Expert Systems: the journal of knowledge engineering. 39 (7). https://doi.org/10.1111/exsy.12573

Interpretation of radiomics features–A pictorial review

Ardakani, Ali Abbasian, Bureau, Nathalie J, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "Interpretation of radiomics features–A pictorial review." Computer Methods and Programs in Biomedicine. 215. https://doi.org/10.1016/j.cmpb.2021.106609

Deep learning-based PI-RADS score estimation to detect prostate cancer using multiparametric magnetic resonance imaging

Yildiri, Kadir, Yildirim, Muhammed, Eryesil, Hasan, Talo, Muhammed, Yildirim, Ozal, Karabatak, Murat, Ogras, Mehmet Sezai, Artas, Hakan and Acharya, U Rajendra. 2022. "Deep learning-based PI-RADS score estimation to detect prostate cancer using multiparametric magnetic resonance imaging." Computers and Electrical Engineering. 102. https://doi.org/10.1016/j.compeleceng.2022.108275

Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud Environment

Urolagin, Siddhaling, Nayak, Jagadish and Acharya, U. Rajendra. 2022. "Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud Environment." IEEE Access. 10, pp. 132455-132471. https://doi.org/10.1109/ACCESS.2022.3228263

Application of Machine Learning Techniques for Characterization of Ischemic Stroke with MRI Images: A Review

Subudhi, Asit, Dash, Pratyusa, Mohapatra, Manoranjan, Tan, Ru-San, Acharya, U. Rajendra and Sabut, Sukanta. 2022. "Application of Machine Learning Techniques for Characterization of Ischemic Stroke with MRI Images: A Review." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102535

Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals

Sharma, Manish, Kumbhani, Divyash, Yadav, Anuj and Acharya, U. Rajendra. 2022. "Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals." Applied Intelligence. 52 (2), pp. 1325-1337. https://doi.org/10.1007/s10489-021-02422-2

Automated emotion recognition: Current trends and future perspectives

Maithri, M., Raghavendra, U., Gudigar, Anjan, Samanth, Jyothi, Barua, Prabal Datta, Murugappan, Murugappan, Chakole, Yashas and Acharya, U. Rajendra. 2022. "Automated emotion recognition: Current trends and future perspectives." Computer Methods and Programs in Biomedicine. 215. https://doi.org/10.1016/j.cmpb.2022.106646

Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals

Loh, Hui Wen, Ooi, Chui Ping, Aydemir, Emrah, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2022. "Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals." Expert Systems: the journal of knowledge engineering. 39 (3). https://doi.org/10.1111/exsy.12773

Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network

Loh, Hui Wen, Ooi, Chui Ping, Dhok, Shivani G., Sharma, Manish, Bhurane, Ankit A. and Acharya, U. Rajendra. 2022. "Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network." Applied Intelligence. 52 (3), pp. 2903-2917. https://doi.org/10.1007/s10489-021-02597-8

DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis

Kuluozturk, Mutlu, Kobat, Mehmet Ali, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U Rajendra. 2022. "DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103870

Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals

Koh, Joel.E.W., Ooi, Chui Ping, Lim-Ashworth, Nikki SJ., Vicnesh, Jahmunah, Tor, Hui Tian, Oh, Oh Shu, Tan, Ru-San, Acharya, U.Rajendra and Fung, Daniel Shuen Sheng. 2022. "Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals." Computers in Biology and Medicine. 140. https://doi.org/10.1016/j.compbiomed.2021.105120

ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images

Key, Sefa, Demir, Sukru, Gurger, Murat, Yilmaz, Erhan, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Arunkumar, N., Tan, Ru-San and Acharya, U Rajendra. 2022. "ViVGG19: Novel exemplar deep feature extraction-based shoulder rotator cuff tear and biceps tendinosis detection using magnetic resonance images." Medical Engineering and Physics. 110. https://doi.org/10.1016/j.medengphy.2022.103864

PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images

Kaplan, Ela, Ekinci, Tekin, Kaplan, Selcuk, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San, Arunkumar, N and Acharya, U. Rajendra. 2022. "PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images." Contrast Media and Molecular Imaging. 2022. https://doi.org/10.1155/2022/6034971

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals

Jahmunah, V., Ng, E.Y.K., Tan, Ru-San, Oh, Shu Lih and Acharya, U Rajendra. 2022. "Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals." Computers in Biology and Medicine. 146. https://doi.org/10.1016/j.compbiomed.2022.105550

Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review

Barua, Prabal Datta, Jahmunah, Jahmunah, Gururajan, Raj, Oh, Shu Lih, Palmer, Elizabeth, Azizan, Muhammad Mokhzaini, Kadri, Nahrizul Adib and Acharya, U. Rajendra. 2022. "Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review ." International Journal of Environmental Research and Public Health. 19 (3). https://doi.org/10.3390/ijerph19031192

Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection

Aydemir, Emrah, Yalcinkaya, Mehmet Ali, Barua, Prabal Datta, Baygin, Mehmet, Faust, Oliver, Dogan, Sengul, Chakraborty, Subrata, Tuncer, Turker and Acharya, Rajendra. 2022. "Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection." International Journal of Environmental Research and Public Health. 19 (4). https://doi.org/10.3390/ijerph19041939

Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma

Pham, The-Hanh, Faust, Oliver, Koh, Joel En Wei, Ciaccio, Edward J., Barua, Prabal D., Omar, Norlia, Ng, Wei Lin, Mumin, Nazimah Ab, Rahmat, Kartini and Acharya, U. Rajendra. 2022. "Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma." Expert Systems: the journal of knowledge engineering. 39 (5), pp. 1-19. https://doi.org/10.1111/exsy.12947

An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ

Macin, Gulay, Tasci, Burak, Tasci, Irem, Faust, Oliver, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2022. "An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ." Applied Sciences. 12 (10). https://doi.org/10.3390/app12104920

TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals

Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Palmer, Elizabeth Emma, Ciaccio, Edward J. and Acharya, U. Rajendra. 2022. "TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals." Diagnostics. 12 (10). https://doi.org/10.3390/diagnostics12102544

A hierarchical classification/regression algorithm for improving extreme wind speed events prediction

Pelaez-Rodriguez, C., Perez-Aracil, J., Fister, D, Prieto-Godino, L., Deo, R.C. and Salcedo-sanz, S.. 2022. "A hierarchical classification/regression algorithm for improving extreme wind speed events prediction." Renewable Energy. 201 (Part 2), pp. 157-178. https://doi.org/10.1016/j.renene.2022.11.042

Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine

Sharma, Neelesh and Deo, Ravinesh. 2021. "Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. Netherlands. Elsevier. pp. 437-484

Support vector machine model for multistep wind speed forecasting

Prasad, Shobna Mohini Mala, Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "Support vector machine model for multistep wind speed forecasting." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 335-389

Development of data-driven models for wind speed forecasting in Australia

Neupane, Ananta, Raj, Nawin, Deo, Ravinesh and Ali, Mumtaz. 2021. "Development of data-driven models for wind speed forecasting in Australia." Deo, R., Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 143-190

Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)

Loh, Hui Wen, Hong, Wanrong, Ooi, Chui Ping, Chakraborty, Subrata, Barua, Prabal Datta, Deo, Ravinesh C., Soar, Jeffrey, Palmer, Elizabeth E. and Acharya, U. Rajendra. 2021. "Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)." Sensors. 21, pp. 1-27. https://doi.org/10.3390/s21217034

Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions

Tao, Hai, Al-Khafaji, Zainab S., Qi, Chongchong, Zounemat-Kermani, Mohammad, Kisi, Ozgur, Tiyasha, Tiyasha, Chau, Kwok-Wing, Nourani, Vahid, Melesse, Assefa M., Elhakeem, Mohamed, Farooque, Aitazaz Ahsan, Nejadhashemi, A. Pouyan, Khedher, Khaled Mohamed, Alawi, Omer A., Deo, Ravinesh C., Shahid, Shamsuddin, Singh, Vijay P. and Yaseen, Zaher Mundher. 2021. "Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions." Engineering Applications of Computational Fluid Mechanics. 15 (1), pp. 1585-1612. https://doi.org/10.1080/19942060.2021.1984992

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs

Roui, Mohammad Beheshti, Zomorodi, Mariam, Sarvelayati, Masoomeh, Abdar, Moloud, Noori, Hamid, Plawiak, Pawel, Tadeusiewicz, Ryszard, Zhou, Xujuan, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2021. "A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs." Knowledge-Based Systems. 231. https://doi.org/10.1016/j.knosys.2021.107419

Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia

Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Sankaran, Adarsh, Deo, Ravinesh C., Xiao, Fuyuan and Zhu, Shuyu. 2021. "Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia." Renewable Energy. 177, pp. 1033-1044. https://doi.org/10.1016/j.renene.2021.06.052

Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition

Huynh, Anh Ngoc-Lan, Deo, Ravinesh C., Ali, Mumtaz, Abdulla, Shahab and Raj, Nawin. 2021. "Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition." Applied Energy. 298, pp. 1-19. https://doi.org/10.1016/j.apenergy.2021.117193

Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach

Pham, Yen Hoang, Reardon-Smith, Kathryn and Deo, Ravinesh C.. 2021. "Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach." Journal of Environmental Management. 292. https://doi.org/10.1016/j.jenvman.2021.112790

An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems

Yin, Xinwei, Feng, Qi, Li, Yan, Deo, Ravinesh C., Liu, Wei, Zhu, Meng, Zheng, Xinjun and Liu, Ran. 2022. "An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems." Science of the Total Environment. 806 (2), pp. 1-20. https://doi.org/10.1016/j.scitotenv.2021.150599

Hybrid deep learning method for a week-ahead evapotranspiration forecasting

Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "Hybrid deep learning method for a week-ahead evapotranspiration forecasting." Stochastic Environmental Research and Risk Assessment. 36 (3), pp. 831-849. https://doi.org/10.1007/s00477-021-02078-x

Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks

Ghimire, Sujan, Yaseen, Zaher Mundher, Farooque, Aitazaz A., Deo, Ravinesh C., Zhang, Ji and Tao, Xiaohui. 2021. "Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks." Scientific Reports. 11, pp. 1-26. https://doi.org/10.1038/s41598-021-96751-4

The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces

Prahl, Rosa E., Khan, Shahjahan and Deo, Ravinesh C.. 2021. "The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces." PLoS One. 16 (6), pp. 1-28. https://doi.org/10.1371/journal.pone.0253772

Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data

Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554

LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios

Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3

A new framework for classification of multi-category hand grasps using EMG signals

Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab, Siuly, Siuly, Green, Jonathan H. and Deo, Ravinesh C.. 2021. "A new framework for classification of multi-category hand grasps using EMG signals." Artificial Intelligence in Medicine. 112, pp. 1-14. https://doi.org/10.1016/j.artmed.2020.102005

Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350

Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models

Bayatvarkeshi, Maryam, Bhagat, Suraj Kumar, Mohammadi, Kourosh, Kisi, Ozgur, Farahani, M., Hasani, A., Deo, Ravinesh and Yaseen, Zaher Mundher. 2021. "Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models." Computers and Electronics in Agriculture. 185. https://doi.org/10.1016/j.compag.2021.106158

Automated major depressive disorder detection using melamine pattern with EEG signals

Aydemir, Emrah, Tuncer, Tucker, Dogan, Sengul, Gururajan, Raj and Acharya, U. Rajendra. 2021. "Automated major depressive disorder detection using melamine pattern with EEG signals." Applied Intelligence. 51, pp. 6449-6466. https://doi.org/10.1007/s10489-021-02426-y

Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach

Koh, Joel En Wei, de Michele, Simona, Sudarshan, Vidya K., Jahmunah, V., Ciaccio, Edward J., Ooi, Chui Ping, Gururajan, Raj, Gururajan, Rashmi, Oh, Shu Lih, Lewis, Suzanne K., Green, Peter H., Bhagat, Govind and Acharya, U. Rajendra. 2021. "Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach." Computer Methods and Programs in Biomedicine. 203. https://doi.org/10.1016/j.cmpb.2021.106010

Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science

Jahmunah, Vicnesh, Sudarshan, Vidya K., Oh, Shu Lih, Gururajan, Raj, Gururajan, Rashmi, Zhou, Xujuan, Tao, Xiaohui, Faust, Oliver, Ciaccio, Edward J., Ng, Kwan Hoong and Acharya, U. Rajendra. 2021. "Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science." International Journal of Imaging Systems and Technology. 31 (2), pp. 455-471. https://doi.org/10.1002/ima.22552

Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite

Yeom, Jong-Min, Jeong, Seungtaek, Deo, Ravinesh C. and Ko, Jonghan. 2021. "Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite." GIScience and Remote Sensing. https://doi.org/10.1080/15481603.2020.1853352

Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks

Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002

Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images

Zhao, Xinxing, Ang, Candice Ke En, Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images." Biocybernetics and Biomedical Engineering. 41 (2), pp. 456-473. https://doi.org/10.1016/j.bbe.2021.02.006

Deep learning model for automated kidney stone detection using coronal CT images

Yildirim, Kadir, Bozdag, Pinar Gundogan, Talo, Muhammed, Yildirim, Ozal, Karabatak, Murat and Acharya, U. Rajendra. 2021. "Deep learning model for automated kidney stone detection using coronal CT images." Computers in Biology and Medicine. 135. https://doi.org/10.1016/j.compbiomed.2021.104569

Development of accurate classification of heavenly bodies using novel machine learning techniques

Wierzbinski, Michal, Pławiak, Pawel, Hammad, Mohamed and Acharya, U. Rajendra. 2021. "Development of accurate classification of heavenly bodies using novel machine learning techniques." Soft Computing. 25 (10), pp. 7213-7228. https://doi.org/10.1007/s00500-021-05687-4

Automated detection and screening of traumatic brain injury (Tbi) using computed tomography images: A comprehensive review and future perspectives

Vidhya, V., Gudigar, Anjan, Raghavendra, U., Hegde, Ajay, Menon, Girish R., Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated detection and screening of traumatic brain injury (Tbi) using computed tomography images: A comprehensive review and future perspectives." International Journal of Environmental Research and Public Health. 18 (12). https://doi.org/10.3390/ijerph18126499

Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals

Tuncer, Turker, Dogan, Sengul, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals." Information Sciences. 565, pp. 91-104. https://doi.org/10.1016/j.ins.2021.01.088

Automated EEG signal classification using chaotic local binary pattern

Tuncer,Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated EEG signal classification using chaotic local binary pattern." Expert Systems with Applications. 182. https://doi.org/10.1016/j.eswa.2021.115175

Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques

Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques." Knowledge-Based Systems. 211. https://doi.org/10.1016/j.knosys.2020.106547

Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals

Tor, Hui Tian, Ooi, Chui Ping, Lim-Ashworth, Nikki SJ, Koh, Joel Koh En, Jahmunah, V., Oh, Shu Lih, Acharya, U. Rajendra and Fung, Daniel Shuen Sheng. 2021. "Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals." Computer Methods and Programs in Biomedicine. 200. https://doi.org/10.1016/j.cmpb.2021.105941

Artificial Intelligence and Machine Learning in Emergency Medicine

Tang, Kenneth Jian Wei, Ang, Candice Ke En, Constantinides, Theodoros, Rajinikanth, V., Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Artificial Intelligence and Machine Learning in Emergency Medicine." Biocybernetics and Biomedical Engineering. 41 (1), pp. 156-172. https://doi.org/10.1016/j.bbe.2020.12.002

Accurate detection of myocardial infarction using non linear features with ECG signals

Sridhar, Chaitra, Lih, Oh Shu, Jahmunah, V., Koh, Joel E. W., Ciaccio, Edward J., San, Tan Ru, Arunkumar, N., Kadry, Seifedine and Acharya, U. Rajendra. 2021. "Accurate detection of myocardial infarction using non linear features with ECG signals." Journal of Ambient Intelligence and Humanized Computing. 12 (3), pp. 3227-3244. https://doi.org/10.1007/s12652-020-02536-4

Corrigendum to ‘An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device’[Computer Methods and Programs in Biomedicine 197: 105758]

Sree S, Vinitha, Royea, Rob, Buckman, Kevin J., Benardis, Matt, Holmes, Jim, Fletcher, Ronald L., Ng, EYK, Acharya, U. Rajendra and Ellenhorn, Joshua D.I.. 2021. "Corrigendum to ‘An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device’[Computer Methods and Programs in Biomedicine 197: 105758] ." Computer Methods and Programs in Biomedicine. 205. https://doi.org/10.1016/j.cmpb.2021.106118

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Moridian, Parisa, Rezaei, Mitra, Alizadehsani, Roohallah, Khozeimeh, Fahime, Gorriz, Juan Manuel, Heras, Jónathan, Panahiazar, Maryam, Nahavandi, Saeid and Acharya, U. Rajendra. 2021. "Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review." Computers in Biology and Medicine. 136. https://doi.org/10.1016/j.compbiomed.2021.104697

Epileptic seizures detection using deep learning techniques: A review

Acharya, Udyavara Rajendra, Shoeibi, Afshin, Khodatars, Marjane, Ghassemi, Navid, Jafari, Mahboobeh, Moridian, Parisa, Alizadehsani, Roohallah, Panahiazar, Maryam, Khozeimeh, Fahime, Zare, Assef, Hosseini-Nejad, Hossein, Khosravi, Abbas, Atiya, Amir F., Aminshahidi, Diba, Hussain, Sadiq, Rouhani, Modjtaba and Nahavandi, Saeid. 2021. "Epileptic seizures detection using deep learning techniques: A review." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18115780

Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with eeg signals

Sharma, Manish, Tiwari, Jainendra and Acharya, U. Rajendra. 2021. "Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with eeg signals." International Journal of Environmental Research and Public Health. 18 (6). https://doi.org/10.3390/ijerph18063087

Automated identification of sleep disorder types using triplet half-band filter and ensemble machine learning techniques with eeg signals

Sharma, Manish, Tiwari, Jainendra, Patel, Virendra and Acharya, U. Rajendra. 2021. "Automated identification of sleep disorder types using triplet half-band filter and ensemble machine learning techniques with eeg signals." Electronics. 10 (13). https://doi.org/10.3390/electronics10131531

Automated detection of hypertension using physiological signals: A review

Sharma, Manish, Rajput, J.S., Tan, Ru San and Acharya, U. Rajendra. 2021. "Automated detection of hypertension using physiological signals: A review." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18115838

Automated characterization of cyclic alternating pattern using wavelet-based features and ensemble learning techniques with eeg signals

Sharma, Manish, Patel, Virendra, Tiwari, Jainendra and Acharya, U. Rajendra. 2021. "Automated characterization of cyclic alternating pattern using wavelet-based features and ensemble learning techniques with eeg signals." Diagnostics. 11 (8). https://doi.org/10.3390/diagnostics11081380

Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals

Sharma, Manish, Patel, Virendra and Acharya, U. Rajendra. 2021. "Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals." Knowledge-Based Systems. 224. https://doi.org/10.1016/j.knosys.2021.107078

Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals

Sharma, Manish, Dhiman, Harsh S. and Acharya, U. Rajendra. 2021. "Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals." Computers in Biology and Medicine. 131. https://doi.org/10.1016/j.compbiomed.2021.104246

Automated detection of schizophrenia using optimal wavelet-based l1 norm features extracted from single-channel EEG

Sharma, Manish and Acharya, U. Rajendra. 2021. "Automated detection of schizophrenia using optimal wavelet-based l1 norm features extracted from single-channel EEG." Cognitive Neurodynamics. 15 (4), pp. 661-674. https://doi.org/10.1007/s11571-020-09655-w

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

Sharifrazi, Danial, Alizadehsani, Roohallah, Roshanzamir, Mohamad, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Jafari, Mahboobeh, Hussain, Sadiq, Sani, Zahra Alizade, Hasanzadeh, Fereshteh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Panahiazar, Maryam, Zare, Assef, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2021. "Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images." Biomedical Signal Processing and Control. 68. https://doi.org/10.1016/j.bspc.2021.102622

Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform

Sawant, Nidhi Kalidas, Patidar, Shivnarayan, Nesaragi, Naimahmed and Acharya, U. Rajendra. 2021. "Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform." Biocybernetics and Biomedical Engineering. 41 (1), pp. 111-126. https://doi.org/10.1016/j.bbe.2020.12.007

A hybrid deep learning approach for gland segmentation in prostate histopathological images

Salvi, Massimo, Bosco, Martino, Molinaro, Luca, Gambella, Alessandro, Papotti, Mauro, Acharya, U. Rajendra and Molinari, Filippo. 2021. "A hybrid deep learning approach for gland segmentation in prostate histopathological images." Artificial Intelligence in Medicine. 115. https://doi.org/10.1016/j.artmed.2021.102076

The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis

Salvi, Massimo, Acharya, U. Rajendra, Molinari, Filippo and Meiburger, Kristen M.. 2021. "The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis." Computers in Biology and Medicine. 128. https://doi.org/10.1016/j.compbiomed.2020.104129

Automated detection of hypertension using wavelet transform and nonlinear techniques with ballistocardiogram signals

Rajput, Jaypal Singh, Sharma, Manish, Kumbhani, Divyash and Acharya, U. Rajendra. 2021. "Automated detection of hypertension using wavelet transform and nonlinear techniques with ballistocardiogram signals." Informatics in Medicine Unlocked. 26. https://doi.org/10.1016/j.imu.2021.100736

Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images

Raghavendra, U., Pham, The-Hanh, Gudigar, Anjan, Vidhya, V., Rao, B. Nageswara, Sabut, Sukanta, Koh, Joel Koh En, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images." Complex and Intelligent Systems. 7 (2), pp. 929-940. https://doi.org/10.1007/s40747-020-00257-x

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer

Raghavendra, U., Gudigar, Anjan, Ciaccio, Edward J., Ng, Kwan Hoong, Chan, Wai Yee, Rahmat, Kartini and Acharya, U. Rajendra. 2021. "2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer." Expert Systems: the journal of knowledge engineering. 38 (6). https://doi.org/10.1111/exsy.12474

AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals

Radhakrishnan, Tejas, Karhade, Jay, Ghosh, S.K., Muduli, P.R., Tripathy, R.K. and Acharya, U. Rajendra. 2021. "AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals." Computers in Biology and Medicine. 137, p. wave. https://doi.org/10.1016/j.compbiomed.2021.104783

A novel machine learning framework for automated detection of arrhythmias in ECG segments

Pham, The-Hanh, Sree, Vinitha, Mapes, John, Dua, Sumeet, Lih, Oh Shu, Koh, Joel E. W., Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "A novel machine learning framework for automated detection of arrhythmias in ECG segments." Journal of Ambient Intelligence and Humanized Computing. 12 (11), pp. 10145-10162. https://doi.org/10.1007/s12652-020-02779-1

Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images

Pham, The-Hanh, Raghavendra, U., Koh, Joel En Wei, Gudigar, Anjan, Chan, Wai Yee, Ramli Hamid, Marlina Tanty, Rahmat, Kartini, Fadzli, Farhana, Ng, Kwan Hoong, Ooi, Chui Ping, Ciaccio, Edward J., Fujita, Hamido and Acharya, U. Rajendra. 2021. "Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images." Journal of Ambient Intelligence and Humanized Computing. 12 (2), pp. 2121-2129. https://doi.org/10.1007/s12652-020-02310-6

Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images

Pathan, S., Siddalingaswamy, P.C., Kumar, Preetham, Pai, Manohara MM, Ali, Tanweer and Acharya, U. Rajendra. 2021. "Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images." Computers in Biology and Medicine. 137. https://doi.org/10.1016/j.compbiomed.2021.104835

A novel automated autism spectrum disorder detection system

Oh, Shu Lih, Jahmunah, V., Arunkumar, N., Abdulhay, Enas W., Gururajan, Raj, Kadri, Nahrizul, Ciaccio, Edward J., Cheong, Kang Hao and Acharya, U. Rajendra. 2021. "A novel automated autism spectrum disorder detection system." Complex and Intelligent Systems. 7 (5), pp. 2399-2413. https://doi.org/10.1007/s40747-021-00408-8

ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images

Nayak, Deepak Ranjan, Das, Dibyasundar, Majhi, Banshidhar, Bhandary, Sulatha V. and Acharya, U. Rajendra. 2021. "ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images." Biomedical Signal Processing and Control. 67. https://doi.org/10.1016/j.bspc.2021.102559

Exploring deep features and ECG attributes to detect cardiac rhythm classes

Murat, Fatma, Yildirim, Ozal, Talo, Muhammed, Demir, Yakup, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Exploring deep features and ECG attributes to detect cardiac rhythm classes." Knowledge-Based Systems. 232. https://doi.org/10.1016/j.knosys.2021.107473

Review of deep learning-based atrial fibrillation detection studies

Murat, Fatma, Sadak, Ferhat, Yildirim, Ozal, Talo, Muhammed, Murat, Ender, Karabatak, Murat, Demir, Yakup, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Review of deep learning-based atrial fibrillation detection studies." International Journal of Environmental Research and Public Health. 18 (21). https://doi.org/10.3390/ijerph182111302

ECG Language processing (ELP): A new technique to analyze ECG signals

Mousavi, Sajad, Afghah, Fatemeh, Khadem, Fatemeh and Acharya, U. Rajendra. 2021. "ECG Language processing (ELP): A new technique to analyze ECG signals." Computer Methods and Programs in Biomedicine. 202. https://doi.org/10.1016/j.cmpb.2021.105959

Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis

Mayya, Veena, Kamath S, Sowmya, Kulkarni, Uma, Hazarika, Manali, Barua, Prabal Datta and Acharya, U. Rajendra. 2021. "Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis." Journal of Fungi. 7 (10). https://doi.org/10.3390/jof7100850

Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals

Maheshwari, Daksh, Ghosh, S.K., Tripathy, R.K., Sharma, Manish and Acharya, U. Rajendra. 2021. "Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104428

Gaborpdnet: Gabor transformation and deep neural network for parkinson’s disease detection using eeg signals

Loh, Hui Wen, Ooi, Chui Ping, Palmer, Elizabeth, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Baygin, Mehmet and Acharya, U. Rajendra. 2021. "Gaborpdnet: Gabor transformation and deep neural network for parkinson’s disease detection using eeg signals." Electronics. 10 (14). https://doi.org/10.3390/electronics10141740

Hybrid decision support to monitor atrial fibrillation for stroke prevention

Lei, Ningrong, Kareem, Murtadha, Moon, Seung Ki, Ciaccio, Edward J., Acharya, U Rajendra and Faust, Oliver. 2021. "Hybrid decision support to monitor atrial fibrillation for stroke prevention." International Journal of Environmental Research and Public Health. 18 (2). https://doi.org/10.3390/ijerph18020813

Schizophrenia: A survey of artificial intelligence techniques applied to detection and classification

Lai, Joel Weijia, Ang, Candice Ke En, Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Schizophrenia: A survey of artificial intelligence techniques applied to detection and classification." International Journal of Environmental Research and Public Health. 18 (11). https://doi.org/10.3390/ijerph18116099

Automated covid-19 and heart failure detection using dna pattern technique with cough sounds

Kobat, Mehmet Ali, Kivrak, Tarik, Barua, Prabal Datta, Tuncer, Turker, Dogan, Sengul, Tan, Ru-San, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated covid-19 and heart failure detection using dna pattern technique with cough sounds." Diagnostics. 11 (11). https://doi.org/10.3390/diagnostics11111962

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review

Khodatars, Marjane, Shoeibi, Afshin, Sadeghi, Delaram, Ghassemi, Navid, Jafari, Mahboobeh, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Zare, Assef, Kong, Yinan, Khosravi, Abbas, Nahavandi, Saeid, Hussain, Sadiq, Acharya, U. Rajendra and Berk, Michael. 2021. "Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review." Computers in Biology and Medicine. 139. https://doi.org/10.1016/j.compbiomed.2021.104949

SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals

Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals." IEEE Transactions on Instrumentation and Measurement. 70. https://doi.org/10.1109/TIM.2021.3070608

Detection of Parkinson's disease using automated tunable Q wavelet transform technique with EEG signals

Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "Detection of Parkinson's disease using automated tunable Q wavelet transform technique with EEG signals." Biocybernetics and Biomedical Engineering. 41 (2), pp. 679-689. https://doi.org/10.1016/j.bbe.2021.04.008

PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals

Khare, Smith K., Bajaj, Varun and Acharya, U. Rajendra. 2021. "PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals." IEEE Sensors Journal. 21 (15), pp. 17017-17024. https://doi.org/10.1109/JSEN.2021.3080135

Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication

Javan, Ali Akbar Kekha, Shoeibi, Afshin, Zare, Assef, Izadi, Navid Hosseini, Jafari, Mahboobeh, Alizadehsani, Roohallah, Moridian, Parisa, Mosavi, Amir, Acharya, U. Rajendra and Nahavandi, Saeid. 2021. "Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication." Sensors. 21 (1). https://doi.org/10.3390/s21010254

Multichannel multiscale two-stage convolutional neural network for the detection and localization of myocardial infarction using vectorcardiogram signal

Karhade, Jay, Ghosh, Samit Kumar, Gajbhiye, Pranjali, Tripathy, Rajesh Kumar and Acharya, U. Rajendra. 2021. "Multichannel multiscale two-stage convolutional neural network for the detection and localization of myocardial infarction using vectorcardiogram signal." Applied Sciences. 11 (17). https://doi.org/10.3390/app11177920

A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke

Kareem, Murtadha, Lei, Ningrong, Ali Ali, Ciaccio, Edward J., Acharya, U. Rajendra and Faust, Oliver. 2021. "A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke." Biomedical Signal Processing and Control. 69. https://doi.org/10.1016/j.bspc.2021.102818

Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques

Karadal, Can Haktan, Kaya, M. Cagri, Tuncer, Turker, Dogan, Sengul and Acharya, U. Rajendra. 2021. "Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques." Expert Systems with Applications. 185. https://doi.org/10.1016/j.eswa.2021.115659

Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals

Jahmunah, V., Ng, E.Y.K., Tan, Tan Ru and Acharya, U. Rajendra. 2021. "Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104457

A review on computer aided diagnosis of acute brain stroke

Inamdar, Mahesh Anil, Raghavendra, Udupi, Gudigar, Anjan, Chakole, Yashas, Hegde, Ajay, Menon, Girish R., Barua, Prabal, Palmer, Elizabeth Emma, Cheong, Kang Hao, Chan, Wai Yee, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "A review on computer aided diagnosis of acute brain stroke." Sensors. 21 (24). https://doi.org/10.3390/s21248507

ResNet-Attention model for human authentication using ECG signals

Hammad, Mohamed, Pławiak, Paweł, Wang, Kuanquan and Acharya, Udyavara Rajendra. 2021. "ResNet-Attention model for human authentication using ECG signals." Expert Systems: the journal of knowledge engineering. 38 (6). https://doi.org/10.1111/exsy.12547

Automated detection of shockable ECG signals: A review

Hammad, Mohamed, Rajesh, Kandala N.V.P.S, Abdelatey, Amira, Abdar, Moloud, Zomorodi-Moghadam, Mariam, Tan, Ru-San, Acharya, U. Rajendra, Plawiak, Joanna, Tadeusiewicz, Ryszard, Makarenkov, Vladimir, Sarrafzadegan, Nizal, Khosravi, Abbas, Nahavandi, Saeid, Abd El-Latif, Ahmed A. and Plawiak, Pawel. 2021. "Automated detection of shockable ECG signals: A review." Information Sciences. 571, pp. 580-604. https://doi.org/10.1016/j.ins.2021.05.035

Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images

Gudigar, Anjan, Raghavendra, U., Samanth, Jyothi, Gangavarapu, Mokshagna Rohit, Kudva, Abhilash, Paramasivam, Ganesh, Nayak, Krishnananda, Tan, Ru-San, Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images." Biomedical Signal Processing and Control. 68. https://doi.org/10.1016/j.bspc.2021.102733

Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization

Gudigar, Anjan, Nayak, Sneha, Samanth, Jyothi, Raghavendra, U., Ashwal, A J, Barua, Prabal Datta, Hasan, Md Nazmul, Ciaccio, Edward J., Tan, Ru-San and Acharya, U. Rajendra. 2021. "Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization." International Journal of Environmental Research and Public Health. 18 (19). https://doi.org/10.3390/ijerph181910003

Automated arrhythmia detection based on rr intervals

Faust, Oliver, Kareem, Murtadha, Ali Ali, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Automated arrhythmia detection based on rr intervals." Diagnostics. 11 (8). https://doi.org/10.3390/diagnostics11081446

Fusion of higher order spectra and texture extraction methods for automated stroke severity classification with MRI images

Faust, Oliver, Koh, Joel En Wei, Jahmunah, Vicnesh, Sabut, Sukant, Ciaccio, Edward J., Majid, Arshad, Ali, Ali, Lip, Gregory Y. H. and Acharya, U. Rajendra. 2021. "Fusion of higher order spectra and texture extraction methods for automated stroke severity classification with MRI images." International Journal of Environmental Research and Public Health. 18 (15). https://doi.org/10.3390/ijerph18158059

Accurate detection of sleep apnea with long short-term memory network based on RR interval signals

Faust, Oliver, Barika, Ragab Ragab, Shenfield, Alex, Ciaccio, Edward J. and Acharya, U. Rajendra. 2021. "Accurate detection of sleep apnea with long short-term memory network based on RR interval signals." Knowledge-Based Systems. 212. https://doi.org/10.1016/j.knosys.2020.106591

Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals

Faust, Oliver and Acharya, U. Rajendra. 2021. "Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals." Expert Systems with Applications. 181. https://doi.org/10.1016/j.eswa.2021.115031

Accurate automated diagnosis of carpal tunnel syndrome using radiomics features with ultrasound images: A comparison with radiologists’ assessment

Faeghi, Fariborz, Ardakani, Ali Abbasian, Acharya, U. Rajendra, Mirza-Aghazadeh-Attari, Mohammad, Abolghasemi, Jamileh, Ejtehadifar, Sajjad and Mohammadi, Afshin. 2021. "Accurate automated diagnosis of carpal tunnel syndrome using radiomics features with ultrasound images: A comparison with radiologists’ assessment." European Journal of Radiology. 136. https://doi.org/10.1016/j.ejrad.2020.109518

Application of substitution box of present cipher for automated detection of snoring sounds

Dogan, Sengul, Akbal, Erhan, Tuncer, Turker and Acharya, U. Rajendra. 2021. "Application of substitution box of present cipher for automated detection of snoring sounds." Artificial Intelligence in Medicine. 117. https://doi.org/10.1016/j.artmed.2021.102085

PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition

Dogan, Abdullah, Akay, Merve, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Dogru, Ali Hikmet and Acharya, U. Rajendra. 2021. "PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition." Computers in Biology and Medicine. 138. https://doi.org/10.1016/j.compbiomed.2021.104867

An automated skin melanoma detection system with melanoma-index based on entropy features

Cheong, Kang Hao, Tang, Kenneth Jian Wei, Zhao, Xinxing, Koh, Joel En Wei, Faust, Oliver ., Gururajan, Raj, Ciaccio, Edward J., Rajinikanth, V. and Acharya, U. Rajendra. 2021. "An automated skin melanoma detection system with melanoma-index based on entropy features." Biocybernetics and Biomedical Engineering. 41 (3), pp. 997-1012. https://doi.org/10.1016/j.bbe.2021.05.010

Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images

Chan, Yam Meng, Ng, E.Y.K., Jahmunah, V., Koh, Joel En Wei, Oh, Shu Lih, Han, Wei Shan, Yip, Leonard Wei Leon and Acharya, U. Rajendra. 2021. "Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images." Biomedical Signal Processing and Control. 69. https://doi.org/10.1016/j.bspc.2021.102895

Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals

Baygin, Mehmet, Yaman, Orhan, Tuncer, Turker, Dogan, Sengul, Barua, Prabal Datta and Acharya, U. Rajendra. 2021. "Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals." Biomedical Signal Processing and Control. 70. https://doi.org/10.1016/j.bspc.2021.102936

Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records

Baygin, Mehmet, Tuncer, Turker, Dogan, Sengul, Tan, Ru-San and Acharya, U. Rajendra. 2021. "Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records." Information Sciences. 575, pp. 323-337. https://doi.org/10.1016/j.ins.2021.06.022

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta, Faust, Oliver, Arunkumar, N., Abdulhay, Enas W., Palmer, Elizabeth Emma and Acharya, U. Rajendra. 2021. "Automated ASD detection using hybrid deep lightweight features extracted from EEG signals." Computers in Biology and Medicine. 134. https://doi.org/10.1016/j.compbiomed.2021.104548

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik and Acharya, U. Rajendra. 2021. "ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 115, pp. 279-294. https://doi.org/10.1016/j.future.2020.08.005

Automatic covid-19 detection using exemplar hybrid deep features with x-ray images

Barua, Prabal Datta, Muhammad Gowdh, Nadia Fareeda, Rahmat, Kartini, Ramli, Norlisah, Ng, Wei Lin, Chan, Wai Yee, Kuluozturk, Mutlu, Dogan, Sengul, Baygin, Mehmet, Yaman, Orhan, Tuncer, Turker, Wen, Tao, Cheong, Kang Hao and Acharya, U. Rajendra. 2021. "Automatic covid-19 detection using exemplar hybrid deep features with x-ray images." International Journal of Environmental Research and Public Health. 18 (15). https://doi.org/10.3390/ijerph18158052

Novel automated PD detection system using aspirin pattern with EEG signals

Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Baygin, Mehmet and Acharya, Rajendra. 2021. "Novel automated PD detection system using aspirin pattern with EEG signals." Computers in Biology and Medicine. 137. https://doi.org/10.1016/j.compbiomed.2021.104841

Multilevel deep feature generation framework for automated detection of retinal abnormalities using OCT images

Barua, Prabal Datta, Chan, Wai Yee Chan, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Ciaccio, Edward J., Islam, Nazrul, Cheong, Kang Hao, Shahid, Zakia Sultana and Acharya, Rajendra. 2021. "Multilevel deep feature generation framework for automated detection of retinal abnormalities using OCT images." Entropy: international and interdisciplinary journal of entropy and information studies. 23 (12). https://doi.org/10.3390/e23121651

A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study

Ardakani, Ali Abbasian, Kwee, Robert M., Mirza-Aghazadeh-Attari, Mohammad, Castro, Horacio Matias, Kuzan, Taha Yusuf, Altintoprak, Kubra Murzoglu, Besutti, Giulia, Monelli, Filippo, Faeghi, Fairborz, Acharya, U Rajendra and Mohammadi, Afshin. 2021. "A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study." Pattern Recognition Letters. 152, pp. 42-49. https://doi.org/10.1016/j.patrec.2021.09.012

Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data

Alizadehsani, Roohallah, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Gorriz, Juan M., Hussain, Sadiq, Arco, Juan E., Sani, Zahra Alizadeh, Khozeimeh, Fahime, Khosravi, Abbas, Nahavandi, Saeid, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2021. "Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data." ACM Transactions on Multimedia Computing Communications and Applications. 17 (3s), pp. 1-24. https://doi.org/10.1145/3462635

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)

Alizadehsani, Roohallah, Roshanzamir, Mohamad, Hussain, Sadiq, Khosravi, Abbas, Koohestani, Afsaneh, Zangooei, Mohammad Hossein, Abdar, Moloud, Beykikhoshk, Adham, Shoeibi, Afshin, Zare, Assef, Panahiazar, Maryam, Nahavandi, Saeid, Srinivasan, Dipti, Atiya, Amir F. and Acharya, U. Rajendra. 2021. "Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)." Annals of Operations Research. https://doi.org/10.1007/s10479-021-04006-2

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020

Alizadehsani, Roohallah, Khosravi, Abbas, Roshanzamir, Mohamad, Abdar, Moloud, Sarrafzadegan, Nizal, Shafie, Davood, Khozeimeh, Fahime, Shoeibi, Afshin ., Nahavandi, Saeid, Panahiazar, Maryam, Bishara, Andrew, Beygui, Ramin E., Puri, Rishi, Kapadia, Samir R., Tan, Ru-San and Acharya, U. Rajendra. 2021. "Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020." Computers in Biology and Medicine. 128. https://doi.org/10.1016/j.compbiomed.2020.104095

Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients

Alizadehsani, Roohallah, Sani, Zahra Alizadeh, Behjati, Mohaddeseh, Roshanzamir, Zahra, Hussain, Sadiq, Abedini, Niloofar, Hasanzadeh, Fereshteh, Khosravi, Abbas, Shoeibi, Afshin, Roshanzamir, Mohamad, Moradnejad, Pardis, Nahavandi, Saeid, Khozeimeh, Fahime, Zare, Asse, Panahiazar, Maryam, Acharya, U. Rajendra and Islam, Sheikh Mohammad Shariful. 2021. "Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients." Journal of Medical Virology. 93 (4), pp. 2307-2320. https://doi.org/10.1002/jmv.26699

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

Abdar, Moloud, Samami, Maryam, Mahmoodabad, Sajjad Dehghani, Doan, Thang, Mazoure, Bogdan, Hashemifesharaki, Reza, Liu, Li, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, Saeid. 2021. "Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning." Computers in Biology and Medicine. 135. https://doi.org/10.1016/j.compbiomed.2021.104418

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Abdar, Moloud, Pourpanah, Farhad, Hussain, Sadiq, Rezazadegan, Dana, Liu, Li, Ghavamzadeh, Mohammad, Fieguth, Paul, Cao, Xiaochun, Khosravi, Abbas, Acharya, U. Rajendra, Makarenkov, Vladimir and Nahavandi, S.. 2021. "A review of uncertainty quantification in deep learning: Techniques, applications and challenges." Information Fusion. 76, pp. 243-297. https://doi.org/10.1016/j.inffus.2021.05.008

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

Abdar, Moloud, Fahami, Mohammad Amin, Chakrabarti, Satarupa, Khosravi, Abbas, Pławiak, Paweł, Acharya, U. Rajendra, Tadeusiewicz, Ryszard and Nahavandi, Saeid. 2021. "BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification." Information Sciences. 577, pp. 353-378. https://doi.org/10.1016/j.ins.2021.07.024

COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings

Ardakani, Ali Abbasian, Acharya, U. Rajendra, Habibollahi, Sina and Mohammadi, Afshin. 2021. "COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings." European Radiology. 31 (1), pp. 121-130. https://doi.org/10.1007/s00330-020-07087-y

MARS model for prediction of short- and long-term global solar radiation

Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Roy, Sanjiban Sekhar and Samui, Pijush (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. United Kingdom. Elsevier. pp. 391-436

Developing reservoir evaporation predictive model for successful dam management

Allawi, Mohammed Falah, Ahmed, Mohammed Lateef, Aidan, Ibraheem Abdallah, Deo, Ravinesh C. and El-Shafie, Ahmed. 2021. "Developing reservoir evaporation predictive model for successful dam management." Stochastic Environmental Research and Risk Assessment. 35 (2), pp. 499-514. https://doi.org/10.1007/s00477-020-01918-6

Application of effective drought index for quantification of meteorological drought events: a case study in Australia

Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F. and Begum, Khaleda. 2017. "Application of effective drought index for quantification of meteorological drought events: a case study in Australia." Theoretical and Applied Climatology. 128 (1-2), pp. 359-379. https://doi.org/10.1007/s00704-015-1706-5

Feedback modelling of the impacts of drought: A case study in coffee production systems in Viet Nam

Pham, Yen, Reardon-Smith, Kathryn, Mushtaq, Shahbaz and Deo, Ravinesh C.. 2020. "Feedback modelling of the impacts of drought: A case study in coffee production systems in Viet Nam." Climate Risk Management. 30, pp. 1-17. https://doi.org/10.1016/j.crm.2020.100255

Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach

Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Li, Ya and Yaseen, Zaher Mundher. 2020. "Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach." Hydrological Sciences Journal. 65 (16), pp. 2693-2708. https://doi.org/10.1080/02626667.2020.1808219

Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji

Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6

The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space

Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805

Predictive modelling of global solar radiation with artificial intelligence approaches using MODIS satellites and atmospheric reanalysis data for Australia

Ghimire, Sujan. 2019. Predictive modelling of global solar radiation with artificial intelligence approaches using MODIS satellites and atmospheric reanalysis data for Australia. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/9he0-h328

Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression

Ali, Mumtaz and Deo, Ravinesh C.. 2020. "Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 37-87

MARS model for prediction of short- and long-term global solar radiation

Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 391-436

Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm

Karalasingham, Sagthitharan, Deo, Ravinesh and Prasad, Ramendra. 2021. "Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 271-298

Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration

Goundar, Harshna, Yaseen, Zaher Mundher and Deo, Ravinesh. 2021. "Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 191-232

Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition

Rezaie-Balf, Mohammad, Kim, Sungwon, Ghaemi, Alireza and Deo, Ravinesh. 2021. "Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 115-142

Experimental Study on the Rainfall-Runoff Responses of Typical Urban Surfaces and Two Green Infrastructures Using Scale-Based Models

Liu, Wen, Feng, Qi, Deo, Ravinesh C., Yao, Lei and Wei, Wei. 2020. "Experimental Study on the Rainfall-Runoff Responses of Typical Urban Surfaces and Two Green Infrastructures Using Scale-Based Models ." Environmental Management (New York): an international journal for decision-makers, scientists and environmental auditors. 66 (4), pp. 683-693. https://doi.org/10.1007/s00267-020-01339-9

Ensemble neural network approach detecting pain intensity from facial expressions

Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "Ensemble neural network approach detecting pain intensity from facial expressions." Artificial Intelligence in Medicine. 109, pp. 1-12. https://doi.org/10.1016/j.artmed.2020.101954

Automated prediction of sepsis using temporal convolutional network

Kok, Christopher, Jahmunah, V., Oh, Shu Lih, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Cheong, Kang Hao, Gururajan, Rashmi, Molinari, Filippo and Acharya, U. Rajendra. 2020. "Automated prediction of sepsis using temporal convolutional network." Computers in Biology and Medicine. 127, pp. 1-10. https://doi.org/10.1016/j.compbiomed.2020.103957

Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods

Prasad, Ramendra, Charan, Dhrishna, Joseph, Lionel, Nguyen-Huy, Thong, Deo, Ravinesh C. and Singh, Sanjay. 2021. "Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 359-381

Artificial neural networks for prediction of Steadman Heat Index

Chand, Bhuwan, Nguyen-Huy, Thong and Deo, Ravinesh C.. 2021. "Artificial neural networks for prediction of Steadman Heat Index." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 293-357

Spatial prediction of landslide susceptibility using random forest algorithm

Rahmati, Omid, Kornejady, Aiding and Deo, Ravinesh C.. 2021. "Spatial prediction of landslide susceptibility using random forest algorithm." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 281-292

Intelligent data analytics for time series, trend analysis and drought indices comparison

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2021. "Intelligent data analytics for time series, trend analysis and drought indices comparison." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 151-169

Modulation of tropical cyclone genesis by Madden–Julian Oscillation in the Southern Hemisphere

Dayal, Kavina S., Wang, Bin and Deo, Ravinesh C.. 2021. "Modulation of tropical cyclone genesis by Madden–Julian Oscillation in the Southern Hemisphere." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 127-150

Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction

Nguyen-Huy, Thong, Deo, Ravinesh C., Yaseen, Zaher Mundher, Mushtaq, Shahbaz and Prasad, Ramendra. 2021. "Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 29-47

Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation

Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher. 2021. Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer.

Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Deo, Ravinesh C.. 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms." Renewable and Sustainable Energy Reviews. 132. https://doi.org/10.1016/j.rser.2020.110003

Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms

Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2020. "Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms." Energies. 13 (9). https://doi.org/10.3390/en13092307

Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network

Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517

Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications

Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2020. "Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications." Expert Systems with Applications. 161. https://doi.org/10.1016/j.eswa.2020.113676

Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region

Wu, Min, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yin, Zhenliang, Yang, Linshan and Sheng, Danrui. 2020. "Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region." Hydrology Research: an international journal. 51 (4), pp. 648-665. https://doi.org/10.2166/nh.2020.012

Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors

Liu, Wen, Feng, Qi, Chen, Weiping and Deo, Ravinesh C.. 2020. "Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors." Environmental Science and Pollution Research. 27 (24), pp. 30831-30843. https://doi.org/10.1007/s11356-020-09220-2

Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea

Yeom, Jong-Min, Deo, Ravinesh C., Adamowski, Jan F., Park, Seonyoung and Lee, Chang-Suk. 2020. "Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea." Environmental Research Letters. 15 (9), pp. 1-10. https://doi.org/10.1088/1748-9326/ab9467

Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments

Salih, Sinan Q., Sharafati, Ahmad, Ebtehaj, Isa, Sanikhani, Hadi, Siddique, Ridwan, Deo, Ravinesh C., Bonakdari, Hossein, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2020. "Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments." Hydrological Sciences Journal. 65 (7), pp. 1145-1157. https://doi.org/10.1080/02626667.2020.1734813

Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach

Nasarian, Elham, Abdar, Moloud, Fahami, Mohammad Amin, Alizadehsani, Roohallah, Hussain, Sadiq, Basiri, Mohammad Ehsan, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Plawiak, Pawel, Acharya, U. Rajendra, Tan, Ru-San and Sarrafzadegan, Nizal. 2020. "Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach." Pattern Recognition Letters. 133, pp. 33-40. https://doi.org/10.1016/j.patrec.2020.02.010

Hybridized neural fuzzy ensembles for dust source modeling and prediction

Rahmati, Omid, Panahi, Mahdi, Ghiasi, Seid Saeid, Deo, Ravinesh C., Tiefenbacher, John P., Pradhan, Biswajeet, Jahani, Ali, Goshtasb, Hamid, Kornejady, Aiding, Shahabi, Himan, Shirzadi, Ataollah, Khosravi, Hassan, Moghaddam, Davoud Davoudi, Mohtashamian, Maryamsadat and Bui, Dieu Tien. 2020. "Hybridized neural fuzzy ensembles for dust source modeling and prediction." Atmospheric Environment. 224, pp. 1-11. https://doi.org/10.1016/j.atmosenv.2020.117320

Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model

Tao, Hai, Sharafati, Ahmad, Mohammed, Achite, Salih, Sinan Q., Deo, Ravinesh C., Al-Ansari, Nadhir and Yaseen, Zaher Mundher. 2020. "Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model." IEEE Access. 8, pp. 12026-12042. https://doi.org/10.1109/ACCESS.2020.2965303

Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia

Ghorbani, Mohammad Ali, Deo, Ravinesh C., Kim, Sungwon, Kashani, Mahasa Hasanpour, Karimi, Vahid and Izadkhah, Maryam. 2020. "Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia." Soft Computing. 24, pp. 12079-12090. https://doi.org/10.1007/s00500-019-04648-2

Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China

Yang, Linshan, Feng, Qi, Adamowski, Jan F., Deo, Ravinesh C., Yin, Zhenlaing, Wen, Xiaohu, Tang, Xia and Wu, Min. 2020. "Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China." Science of the Total Environment. 713, pp. 1-11. https://doi.org/10.1016/j.scitotenv.2020.136587

Mixing characteristics of a film-exciting flapping jet

Wu, M., Xu, M., Mi, J. and Deo, R. C.. 2020. "Mixing characteristics of a film-exciting flapping jet." International Journal of Heat and Fluid Flow. 82, pp. 1-9. https://doi.org/10.1016/j.ijheatfluidflow.2019.108532

Enhanced deep learning algorithm development to detect pain intensity from facial expression images

Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffery, Whittaker, Frank and Wang, Hua. 2020. "Enhanced deep learning algorithm development to detect pain intensity from facial expression images." Expert Systems with Applications. 149, pp. 1-10. https://doi.org/10.1016/j.eswa.2020.113305

A general extensible learning approach for multi-disease recommendations in a telehealth environment

Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Zhu, Xiaodong, Li, Hongzhou, Chang, Liang and Deo, Ravinesh. 2020. "A general extensible learning approach for multi-disease recommendations in a telehealth environment ." Pattern Recognition Letters. 132, pp. 106-114. https://doi.org/10.1016/j.patrec.2018.11.006

A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms

Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2020. "A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms." Science of the Total Environment. 709, pp. 1-23. https://doi.org/10.1016/j.scitotenv.2019.135934

Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia

Rahmati, Omid, Falah, Fatemeh, Dayal, Kavina Shaanu, Deo, Ravinesh C., Mohammadi, Farnoush, Biggs, Trent, Moghaddam, Davoud Davoudi, Naghibi, Seyed Amir and Bui, Dieu Tien. 2020. "Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia." Science of the Total Environment. 699 (134230). https://doi.org/10.1016/j.scitotenv.2019.134230

Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high‐resolution regional climate models

Yin, Zhenliang, Feng, Qi, Yang, Linshan, Deo, Ravinesh C., Adamowski, Jan F., Wen, Xiaohu, Jia, Bing and Si, Jianhua. 2020. "Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high‐resolution regional climate models." International Journal of Climatology. 40 (8), pp. 3922-3941. https://doi.org/10.1002/joc.6435

Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease

Zomorodi-Moghadam, Mariam, Abdar, Moloud, Davarzani, Zohreh, Zhou, Xujuan, Pławiak, Pawel and Acharya, U. Rajendra. 2021. "Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease." Expert Systems: the journal of knowledge engineering. 38 (1), pp. 1-17. https://doi.org/10.1111/exsy.12485

Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables

Yeom, Jong-Min, Deo, Ravinesh, Adamowski, Jan F., Chae, Taebyeong, Kim, Dong-Su, Han, Kyung-Soo and Kim, Do-Yong. 2020. "Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables." Renewable and Sustainable Energy Reviews. 119, pp. 1-14. https://doi.org/10.1016/j.rser.2019.109570

Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia

Rahmati, Omid, Panahi, Mahdi, Kalantari, Zahra, Soltani, Elinaz, Falah, Fatemeh, Dayal, Kavina S., Mohammadi, Farnoush, Deo, Ravinesh C., Tiefenbacher, John and Bui, Dieu Tien. 2020. "Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia." Science of the Total Environment. 718, pp. 1-17. https://doi.org/10.1016/j.scitotenv.2019.134656

Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China

Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Liu, Wen. 2020. "Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China." Catena. 187. https://doi.org/10.1016/j.catena.2019.104345

An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device

Sree S, Vinitha, Royea, Rob, Buckman, Kevin J., Benardis, Matt, Holmes, Jim, Fletcher, Ronald L., Ng, EYK, Acharya, U. Rajendra and Ellenhorn, Joshua D.I.. 2020. "An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device ." Computer Methods and Programs in Biomedicine. 197. https://doi.org/10.1016/j.cmpb.2020.105758

An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks

Barzegar, Rahim, Sattarpour, Masoud, Deo, Ravinesh, Fijani, Elham and Adamowski, Jan. 2020. "An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks." Neural Computing and Applications. 32 (13), pp. 9065-9080. https://doi.org/10.1007/s00521-019-04418-z

Modern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses

Deo, Ravinesh C., Yaseen, Zaher Mundher, Al-Ansari, Nadhir, Nguyen-Huy, Thong, Langlands, Trevor and Galligan, Linda. 2020. "Modern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses." IEEE Access. 8, pp. 136697-136724. https://doi.org/10.1109/ACCESS.2020.3010938

Correcting satellite precipitation data and assimilating satellite-derived soil moisture data to generate ensemble hydrological forecasts within the HBV rainfall-runoff model

Ciupak, Maurycy, Ozga-Zielinski, Bogdan, Adamowski, Jan, Deo, Ravinesh C and Kochanek, Krzysztof. 2019. "Correcting satellite precipitation data and assimilating satellite-derived soil moisture data to generate ensemble hydrological forecasts within the HBV rainfall-runoff model." Water: an open access journal. 11 (10), pp. 1-31. https://doi.org/10.3390/w11102138

Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: Implications for water resources management in endorheic basins

Guo, Xiaoyan, Feng, Qi, Si, Jianhua, Xi, Haiyang, Zhao, Yan and Deo, Ravinesh C.. 2019. "Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: Implications for water resources management in endorheic basins." Journal of Hydrology. 579, pp. 1-11. https://doi.org/10.1016/j.jhydrol.2019.124212

Probabilistic seasonal rainfall forecasts using semiparametric d-vine copula-based quantile regression

Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz and Khan, Shahjahan. 2020. "Probabilistic seasonal rainfall forecasts using semiparametric d-vine copula-based quantile regression." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 203-227

Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2020. "Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 89-105

Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2020. "Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 141-178

Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls

Zhu, Meng, Feng, Qi, Zhang, Mengxu, Liu, Wei, Deo, Ravinesh C., Zhang, Chengqi and Yang, Linshan. 2019. "Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls." Journal of Soils and Sediments: protection, risk assessment and remediation. 19 (10), pp. 3427-3441. https://doi.org/10.1007/s11368-019-02295-6

Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains

Qin, Yanyan, Adamowski, Jan F., Deo, Ravinesh C., Hu, Zeyong, Cao, Jianjun, Zhu, Meng and Feng, Qi. 2019. "Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains." Ecosphere. 10 (9), pp. 1-13. https://doi.org/10.1002/ecs2.2851

Grassland degradation on the Qinghai-Tibetan Plateau: reevaluation of causative factors

Cao, Jianjun, Adamowski, Jan F., Deo, Ravinesh C., Xu, Xueyun, Gong, Yifan and Feng, Qi. 2019. "Grassland degradation on the Qinghai-Tibetan Plateau: reevaluation of causative factors." Rangeland Ecology and Management. 72 (6), pp. 988-995. https://doi.org/10.1016/j.rama.2019.06.001

Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals

Diykh, Mohammed, Abdulla, Shahab, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals." Biomedical Signal Processing and Control. 54, pp. 1-10. https://doi.org/10.1016/j.bspc.2019.101611

The impacts of substrate and vegetation on stormwater runoff quality from extensive green roofs

Liu, Wen, Wei, Wei, Chen, Weiping, Deo, Ravinesh C., Si, Jianhua, Xi, Haiyang, Li, Baofeng and Feng, Qi. 2019. "The impacts of substrate and vegetation on stormwater runoff quality from extensive green roofs." Journal of Hydrology. 576, pp. 575-582. https://doi.org/10.1016/j.jhydrol.2019.06.061

Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China

Yang, Linshan, Feng, Qi, Yin, Zhenliang, Wen, Xiaohu, Deo, Ravinesh C., Si, Jianhua and Li, Changbin. 2019. "Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China." Theoretical and Applied Climatology. 137 (1-2), pp. 323-339. https://doi.org/10.1007/s00704-018-2598-y

Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction

Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247

Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541

Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm

Abdulla, Shahab, Diykh, Mohammed, Lafta, Raid Luaibi, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm." Expert Systems with Applications. 138, pp. 1-15. https://doi.org/10.1016/j.eswa.2019.07.007

Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia

Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2019. "Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia." Renewable and Sustainable Energy Reviews. 113. https://doi.org/10.1016/j.rser.2019.109293

Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme

Tao, Hai, Ebtehaj, Isa, Bonakdari, Hossein, Heddam, Salim, Voyant, Cyril, Al-Ansari, Nadhir, Deo, Ravinesh and Yaseen, Zaheer Mundher. 2019. "Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme." Energies. 12 (7), pp. 1-24. https://doi.org/10.3390/en12071365

Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models

Kisi, Ozgur, Choubin, Bahram, Deo, Ravinesh C. and Yaseen, Zaheer Mundher. 2019. "Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models." Hydrological Sciences Journal. 64 (10), pp. 1240-1252. https://doi.org/10.1080/02626667.2019.1632460

Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms

Ali, Mumtaz, Deo, Ravinesh C., Maraseni, Tek and Downs, Nathan J.. 2019. "Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms." Journal of Hydrology. 576, pp. 164-184. https://doi.org/10.1016/j.jhydrol.2019.06.032

Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction." Energies. 12 (12), pp. 1-42. https://doi.org/10.3390/en12122407

Situations, challenges and strategies of urban water management in Beijing under rapid urbanization effect

Liu, Wen, Chen, Weiping, Feng, Qi and Deo, Ravinesh C.. 2019. "Situations, challenges and strategies of urban water management in Beijing under rapid urbanization effect." Water Science and Technology: Water Supply. 19 (1), pp. 115-127. https://doi.org/10.2166/ws.2018.057

Suitable exclosure duration for the restoration of degraded alpine grasslands on the Qinghai-Tibetan Plateau

Cao, Jianjun, Li, Guangdong, Adamowski, Jan F., Holden, Nicolas M., Deo, Ravinesh C., Hu, Zeyong, Zhu, Guofeng, Xu, Xueyun and Feng, Qi. 2019. "Suitable exclosure duration for the restoration of degraded alpine grasslands on the Qinghai-Tibetan Plateau." Land Use Policy: the international journal covering all aspects of land use. 86, pp. 261-267. https://doi.org/10.1016/j.landusepol.2019.05.008

Environmental and economic impacts and trade-offs from simultaneous management of soil constraints, nitrogen and water

Kodur, Shreevatsa, Shrestha, Uttam Babu, Maraseni, Tek Narayan and Deo, Ravinesh C.. 2019. "Environmental and economic impacts and trade-offs from simultaneous management of soil constraints, nitrogen and water." Journal of Cleaner Production. 222, pp. 960-970. https://doi.org/10.1016/j.jclepro.2019.03.079

Land subsidence modelling using tree-based machine learning algorithms

Rahmati, Omid, Falah, Fatemeh, Naghibi, Seyed Amir, Biggs, Trent, Soltani, Milad, Deo, Ravinesh C., Cerda, Artemi, Mohammadi, Farnoush and Bui, Dieu Tien. 2019. "Land subsidence modelling using tree-based machine learning algorithms." Science of the Total Environment. 672, pp. 239-252. https://doi.org/10.1016/j.scitotenv.2019.03.496

Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2019. "Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach." Catena. 177, pp. 149-166. https://doi.org/10.1016/j.catena.2019.02.012

Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies

Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2019. "Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies." Stochastic Environmental Research and Risk Assessment. 33 (3), pp. 779-799. https://doi.org/10.1007/s00477-019-01662-6

Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China

Cao, Jianjun, Gong, Yifan, Adamowski, Jan F., Deo, Ravinesh C., Zhu, Guofeng, Dong, Xiaogang, Zhang, Xiaofang, Liu, Haibo and Xin, Cunlin. 2019. "Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China." Scientific Reports. 9 (1), pp. 1-11. https://doi.org/10.1038/s41598-019-39626-z

The role of topography in shaping the spatial patterns of soil organic carbon

Zhu, Meng, Feng, Qi, Qin, Yanyan, Cao, Jiajun, Zhang, Mengxu, Liu, Wei, Deo, Ravinesh C., Zhang, Chengqi, Li, Ruolin and Li, Baofeng. 2019. "The role of topography in shaping the spatial patterns of soil organic carbon." Catena. 176, pp. 296-305. https://doi.org/10.1016/j.catena.2019.01.029

PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches

Rahmati, Omid, Kornejady, Aiding, Samadi, Mahmood, Deo, Ravinesh C., Conoscenti, Christian, Lombardo, Luigi, Dayal, Kavina, Taghizadeh-Mehrjardi, Ruhollah, Pourghasemi, Hamid Reza, Kumar, Sandeep and Bui, Dieu Tien. 2019. "PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches." Science of the Total Environment. 664, pp. 296-311. https://doi.org/10.1016/j.scitotenv.2019.02.017

Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach

Deo, Ravinesh C., Sahin, Mehmet, Adamowski, Jan F. and Mi, Jianchun. 2019. "Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach." Renewable and Sustainable Energy Reviews. 104, pp. 235-261. https://doi.org/10.1016/j.rser.2019.01.009

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min, Yin, Zhenliang, Yang, Linshan and Singh, Vijay P.. 2019. "Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems." Journal of Hydrology. 570, pp. 167-184. https://doi.org/10.1016/j.jhydrol.2018.12.060

New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm

Meshram, Sarita Gajbhiye, Ghorbani, M. A., Deo, Ravinesh C., Kashani, Mahsa Hasanpour, Meshram, Chandrashekhar and Karimi, Vahid. 2019. "New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm." Water Resources Management. 33 (7), pp. 2335-2356. https://doi.org/10.1007/s11269-019-02265-0

Long-term modelling of wind speeds using six different heuristic artificial intelligence approaches

Maroufpoor, Saman, Sanikhani, Hadi, Kisi, Ozgur, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2019. "Long-term modelling of wind speeds using six different heuristic artificial intelligence approaches." International Journal of Climatology. 39 (8), pp. 3543-3557. https://doi.org/10.1002/joc.6037

Development and evaluation of hybrid artificial neural network architectures for modeling spatio-temporal groundwater fluctuations in a complex aquifer system

Roshni, Thendiyath, Jha, Madan K., Deo, Ravinesh C. and Vandana, A.. 2019. "Development and evaluation of hybrid artificial neural network architectures for modeling spatio-temporal groundwater fluctuations in a complex aquifer system." Water Resources Management. 33 (7), pp. 2381-2397. https://doi.org/10.1007/s11269-019-02253-4

An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction

Yaseen, Zaher Mundher, Sulaiman, Sadeq Oleiwi, Deo, Ravinesh C. and Chau, Kwok-Wing. 2019. "An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction." Journal of Hydrology. 569, pp. 387-408. https://doi.org/10.1016/j.jhydrol.2018.11.069

The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and real experiments

Liu, Wen, Feng, Qi, Chen, Weiping, Wei, Wei and Deo, Ravinesh C.. 2019. "The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and real experiments." Journal of Hydrology. 569, pp. 230-238. https://doi.org/10.1016/j.jhydrol.2018.11.066

Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes

Chen, Lijuan, Li, Changsheng, Feng, Qi, Wei, Yongping, Zhao, Yan, Zhu, Meng and Deo, Ravinesh C.. 2019. "Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes." Catena. 172, pp. 581-589. https://doi.org/10.1016/j.catena.2018.09.030

Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia

Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158

Future projection with an extreme-learning machine and support vector regression of reference evapotranspiration in a mountainous inland watershed in north-west China

Yin, Zhenliang, Feng, Qi, Yang, Linshan, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Xiao, Shengchun. 2017. "Future projection with an extreme-learning machine and support vector regression of reference evapotranspiration in a mountainous inland watershed in north-west China." Water: an open access journal. 9 (11), pp. 880-902. https://doi.org/10.3390/w9110880

The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China

Yin, Zhenliang, Feng, Qi, Liu, Shiyin, Zhou, Songbing, Li, Jing, Yang, Linshan and Deo, Ravinesh C.. 2017. "The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China." Water: an open access journal. 9 (3), pp. 159-178. https://doi.org/10.3390/w9030159

Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset

Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2018. "Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset." Huang, Q. and Kolhe, M. (ed.) 3rd International Conference on Power and Renewable Energy (ICPRE 2018). Berlin, Germany 21 - 24 Sep 2018 Germany. https://doi.org/10.1051/e3sconf/20186408001

Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China

Zhu, Meng, Feng, Qi, Zhang, Mengxu, Liu, Wei, Qin, Yanyan, Deo, Ravinesh C. and Zhang, Chengqi. 2019. "Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China." Journal of Soils and Sediments: protection, risk assessment and remediation. 19 (4), pp. 1640-1650. https://doi.org/10.1007/s11368-018-2203-0

A joint deep neural network model for pain recognition from face

Bargshady, Ghazal, Soar, Jeffrey, Zhou, Xujuan, Deo, Ravinesh, Whittaker, Frank and Wang, Hua. 2019. "A joint deep neural network model for pain recognition from face." 4th IEEE International Conference on Computer and Communication Systems (ICCCS 2019). Singapore 23 - 25 Feb 2019 Singapore. pp. 52-56 https://doi.org/10.1109/CCOMS.2019.8821779

Effects of Afforestation on Soil Bulk Density and pH in the Loess Plateau, China

Zhang, Xiaofang, Adamowski, Jan F., Deo, Ravinesh C., Xu, Xueyun, Zhu, Guofeng and Cao, Jianjun. 2018. "Effects of Afforestation on Soil Bulk Density and pH in the Loess Plateau, China." Water: an open access journal. 10 (12), pp. 1-15. https://doi.org/10.3390/w10121710

Assessment of soil salinisation in the Ejina Oasis located in the lower reaches of Heihe River, Northwestern China

Zhao, Yu, Feng, Qi, Lu, Aigang and Deo, Ravinesh C.. 2019. "Assessment of soil salinisation in the Ejina Oasis located in the lower reaches of Heihe River, Northwestern China." Chemistry and Ecology. 35 (4), pp. 330-343. https://doi.org/10.1080/02757540.2018.1554060

Design and implementation of a hybrid MLP-GSA model with multilayer perceptron-gravitational search algorithm for monthly lake water level forecasting

Ghorbani, Mohammad Ali, Deo, Ravinesh C., Karimi, Vahid, Kashani, Mahsa H. and Ghorbani, Shahryar. 2018. "Design and implementation of a hybrid MLP-GSA model with multilayer perceptron-gravitational search algorithm for monthly lake water level forecasting." Stochastic Environmental Research and Risk Assessment. 33 (1), pp. 125-147. https://doi.org/10.1007/s00477-018-1630-1

Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model

Yeom, Jong-min, Jeong, Seungtaek, Jeong, Gwanyong, Ng, Chi Tim, Deo, Ravinesh C. and Ko, Jonghan. 2018. "Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model." Scientific Reports. 8, pp. 1-15. https://doi.org/10.1038/s41598-018-34550-0

Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties

Kouadio, Louis, Deo, Ravinesh C., Byrareddy, Vivekananda, Adamowski, Jan F., Mushtaq, Shahbaz and Nguyen, Van Phuong. 2018. "Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties." Computers and Electronics in Agriculture. 155, pp. 324-338. https://doi.org/10.1016/j.compag.2018.10.014

Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity

Ghorbani, Mohammad Ali, Deo, Ravinesh C., Kashani, Mahsa H., Shahabi, Mahmoud and Ghorbani, Shahryar. 2019. "Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity." Soil and Tillage Research. 186, pp. 152-164. https://doi.org/10.1016/j.still.2018.09.012

Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation

Deo, Ravinesh C., Adamowski, Jan F., Begum, Khaleda, Salcedo-sanz, Sancho, Kim, Do-Woo, Dayal, Kavina S. and Byun, Hi-Ryong. 2019. "Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation." Theoretical and Applied Climatology. 137, pp. 1201-1215. https://doi.org/10.1007/s00704-018-2657-4

Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: a new approach

Yaseen, Zaheer Munder, Tran, Minh Tung, Kim, Sungwon, Bakhshpoori, Taha and Deo, Ravinesh C.. 2018. "Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: a new approach." Engineering Structures. 177, pp. 244-255. https://doi.org/10.1016/j.engstruct.2018.09.074

Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation

Deo, Ravinesh C., Downs, Nathan J., Adamowski, Jan F. and Parisi, Alfio V.. 2018. "Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation." Food and Energy Security. 8 (1). https://doi.org/10.1002/fes3.151

Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach." Agricultural and Forest Meteorology. 263, pp. 428-448. https://doi.org/10.1016/j.agrformet.2018.09.002

Weekly heat wave death prediction model using zero-inflated regression approach

Kim, Do-Woo, Deo, Ravinesh C., Park, Sang-Jin, Lee, Jong-Seol and Lee, Woo-Seop. 2019. "Weekly heat wave death prediction model using zero-inflated regression approach." Theoretical and Applied Climatology. 137 (1-2), pp. 823-838. https://doi.org/10.1007/s00704-018-2636-9

A comparative study of temperature and precipitation‑based aridity indices and their trends in Mongolia

Nyamtseren, Mandakh, Feng, Qi and Deo, Ravinesh C.. 2018. "A comparative study of temperature and precipitation‑based aridity indices and their trends in Mongolia." International Journal of Environmental Research. 12, pp. 887-899. https://doi.org/10.1007/s41742-018-0143-6

Can individual land ownership reduce grassland degradation and favor socioeconomic sustainability on the Qinghai-Tibetan Plateau?

Cao, J. J., Holden, N. M., Adamowski, J. F., Deo, R. C., Xu, X. Y. and Feng, Q.. 2018. "Can individual land ownership reduce grassland degradation and favor socioeconomic sustainability on the Qinghai-Tibetan Plateau?" Environmental Science and Policy. 89, pp. 192-197. https://doi.org/10.1016/j.envsci.2018.08.003

Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management

Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2018. "Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management." Weather and Climate Extremes. 21, pp. 76-89. https://doi.org/10.1016/j.wace.2018.07.002

Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment

Yin, Zhenliang, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yang, Linshan, Si, Jianhua and He, Zhibin. 2018. "Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment." Stochastic Environmental Research and Risk Assessment. 32 (9), pp. 2457-2476. https://doi.org/10.1007/s00477-018-1585-2

Mapping hypothermia death vulnerability in Korea

Park, Sang-Jin, Kim, Do-Woo, Deo, Ravinesh C. and Lee, Jong-Seol. 2018. "Mapping hypothermia death vulnerability in Korea." International Journal of Disaster Risk Reduction. 31, pp. 668-678. https://doi.org/10.1016/j.ijdrr.2018.06.016

Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting." Computers and Electronics in Agriculture. 152, pp. 149-165. https://doi.org/10.1016/j.compag.2018.07.013

A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea

Deo, Ravinesh C., Byun, Hi-Ryong, Kim, Ga-Byn and Adamowski, Jan F.. 2018. "A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea." Environmental Monitoring and Assessment. 190 (450). https://doi.org/10.1007/s10661-018-6806-0

Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting." Atmospheric Research. 213, pp. 450-464. https://doi.org/10.1016/j.atmosres.2018.07.005

Influence of stand type and stand age on soil carbon storage in China’s arid and semi-arid regions

Cao, Jianjun, Zhang, Xiaofang, Deo, Ravinesh, Gong, Yifan and Feng, Qi. 2018. "Influence of stand type and stand age on soil carbon storage in China’s arid and semi-arid regions." Land Use Policy: the international journal covering all aspects of land use. 78, pp. 258-265. https://doi.org/10.1016/j.landusepol.2018.07.002

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

Fijani, Elham, Barzegar, Rahim, Deo, Ravinesh, Tziritis, Evangelos and Konstantinos, Skordas. 2019. "Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters." Science of the Total Environment. 648, pp. 839-853. https://doi.org/10.1016/j.scitotenv.2018.08.221

Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model

Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J. and Raj, Nawin. 2018. "Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 328-359

Hybrid data intelligent models and applications for water level prediction

Yaseen, Zaher Mundher, Deo, Ravinesh C., Ebtehaj, Isa and Bonakdari, Hossein. 2018. "Hybrid data intelligent models and applications for water level prediction." Kim, Dookie, Roy, Sanjiban Sekhar, Länsivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 121-139

Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models

McCarthy, Elizabeth, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 446-464

Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors

Sanikhani, Hadi, Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur, Mert, Chian, Mirabbasi, Rasoul, Gavili, Siavash and Yaseen, Zaher Mundher. 2018. "Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors." Computers and Electronics in Agriculture. 152, pp. 242-260. https://doi.org/10.1016/j.compag.2018.07.008

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition." Geoderma. 330, pp. 136-161. https://doi.org/10.1016/j.geoderma.2018.05.035

Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach

Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, An-Vo, Duc-Anh and Khan, Shahjahan. 2018. "Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach." European Journal of Agronomy. 98, pp. 65-81. https://doi.org/10.1016/j.eja.2018.05.006

Non-tuned data intelligent model for soil temperature estimation: a new approach

Sanikhani, Hadi, Deo, Ravinesh C., Yaseen, Zaher Mundheer, Eray, Okan and Kisi, Ozgur. 2018. "Non-tuned data intelligent model for soil temperature estimation: a new approach." Geoderma. 330, pp. 52-64. https://doi.org/10.1016/j.geoderma.2018.05.030

Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models

Deo, Ravinesh C., Salcedo-sanz, Sancho, Carro-Calvo, Leopoldo and Saavedra-Moreno, Beatriz. 2018. "Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models." Samui, Pijush, Kim, Dookie and Ghosh, Chandan (ed.) Integrating disaster science and management. Amsterdam, Netherlands. Elsevier. pp. 151-174

Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia

Dayal, Kavina, Deo, Ravinesh and Apan, Armando A.. 2017. "Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia." Filho, Walter Leal (ed.) Climate change adaptation in Pacific countries:fostering resilience and improving the quality of life. Springer. pp. 177-198

Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region

Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012

Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises

McCarthy, E., Deo, R. C., Li, Y. and Maraseni, T.. 2017. "Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2017.L1.mccarthy

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities

Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003

An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index." Atmospheric Research. 207, pp. 155-180. https://doi.org/10.1016/j.atmosres.2018.02.024

Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China

Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min and Si, Jianhua. 2017. "Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China." Hydrology Research: an international journal. 48 (6), pp. 1710-1729. https://doi.org/10.2166/nh.2016.396

Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors

Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors." Soil and Tillage Research. 181, pp. 63-81. https://doi.org/10.1016/j.still.2018.03.021

Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau

Cao, Jianjun, Li, Mengtian, Deo, Ravinesh C., Adamowski, Jan F, Cerda, Artemi, Feng, Qi, Liu, Minxia, Zhang, Jian, Zhu, Guofeng, Zhang, Xuebin, Xu, Xueyun, Yang, Shurong and Gong, Yifan. 2018. "Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau." Land Use Policy: the international journal covering all aspects of land use. 74, pp. 88-96. https://doi.org/10.1016/j.landusepol.2017.07.027

Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia." Natural Hazards. 93 (2), pp. 823-847. https://doi.org/10.1007/s11069-018-3326-8

A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm

Rajaee, Taher, Ravansalar, Masoud, Adamowski, Jan F. and Deo, Ravinesh C.. 2018. "A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm." Water, Air and Soil Pollution: an international journal of environmental pollution. 229 (3). https://doi.org/10.1007/s11270-018-3715-3

Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions

Fallah, Seyedeh Narjes, Deo, Ravinesh Chand, Shojafar, Mohammad, Conti, Mauro and Shamshirband, Shahaboddin. 2018. "Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions." Energies. 11 (3). https://doi.org/10.3390/en11030596

Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

Al-Musaylh, Mohanad S., Deo, Ravinesh C., Li, Yan and Adamowski, Jan F.. 2018. "Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting." Applied Energy. 217, pp. 422-439. https://doi.org/10.1016/j.apenergy.2018.02.140

Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons

Yaseen, Zaher Mundher, Fu, Minglei, Wang, Chen, Mohtar, Wan Hanna Melini Wan, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons." Water Resources Management. 32 (5), pp. 1883-1899. https://doi.org/10.1007/s11269-018-1909-5

Multi-household grazing management pattern maintains better soil fertility

Cao, Jianjun, Xu, Xueyun, Deo, Ravinesh C., Holden, Nicholas M., Adamowski, Jan F., Gong, Yifan, Feng, Qi, Yang, Shurong, Li, Mengtian, Zhou, Junju, Zhang, Jian and Liu, Minxia. 2018. "Multi-household grazing management pattern maintains better soil fertility." Agronomy for Sustainable Development: sciences des productions vegetales et de l'environnement. 38 (1). https://doi.org/10.1007/s13593-017-0482-2

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2018. "Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia." Advanced Engineering Informatics: the science of supporting knowledge-intensive activities. 35 (C), pp. 1-16. https://doi.org/10.1016/j.aei.2017.11.002

Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms

Barzegar, Rahim, Moghaddam, Asghar Asghari, Deo, Ravinesh, Fijani, Elham and Tziritis, Evangelos. 2018. "Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms." Science of the Total Environment. 621, pp. 697-712. https://doi.org/10.1016/j.scitotenv.2017.11.185

Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland." Journal of Hydrologic Engineering. 23 (1), p. 05017029. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001593

An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia

Salcedo-sanz, Sancho, Deo, Ravinesh C., Cornejo-Bueno, Laura, Camacho-Gomez, Carlos and Ghimire, Sujan. 2018. "An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia." Applied Energy. 209, pp. 79-94. https://doi.org/10.1016/j.apenergy.2017.10.076

Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data

Deo, Ravinesh C., Ghorbani, Mohammad Ali, Samadianfard, Saeed, Maraseni, Tek, Bilgili, Mehmet and Biazar, Mustafa. 2018. "Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data." Renewable Energy. 116 (Part A), pp. 309-323. https://doi.org/10.1016/j.renene.2017.09.078

Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, northwest China

Yang, Linshan, Feng, Qi, Yin, Zhenliang, Wen, Xiaohu, Si, Jianhua, Li, Changbin and Deo, Ravinesh C.. 2017. "Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, northwest China." Hydrological Processes. 31 (5), pp. 1100-1112. https://doi.org/10.1002/hyp.11098

Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region

Allawi, Mohammed Falah, Jaafar, Othman, Hamzah, Firdaus Mohamad, Mohd, Nuruol Syuhadaa, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region." Theoretical and Applied Climatology. 134 (1-2), pp. 545-563. https://doi.org/10.1007/s00704-017-2292-5

Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey

Ghorbani, Mohammad Ali, Deo, Ravinesh C., Karimi, Vahid, Yaseen, Zaher Mundher and Terz, Ozlem. 2018. "Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey." Stochastic Environmental Research and Risk Assessment. 32 (6), pp. 1683-1697. https://doi.org/10.1007/s00477-017-1474-0

Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran

Ghorbani, M. A., Deo, Ravinesh C., Yaseen, Zaher Mundher, Kashani, Mahsa H. and Mohammadi, Babak. 2018. "Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran." Theoretical and Applied Climatology. 133 (3-4), pp. 1119-1131. https://doi.org/10.1007/s00704-017-2244-0

Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau

Cao, J., Gong, Y., Yeh, E. T., Holden, N. M., Adamowski, J. F., Deo, R. C., Liu, M., Zhou, J., Zhang, J., Zhang, S., Sheng, D., Yang, S., Xu, X., Li, M. and Feng, Q.. 2017. "Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau." Soil Use and Management. 33 (4), pp. 633-671. https://doi.org/10.1111/sum.12387

Effects of ecological water transport on photosynthesis and chlorophyll fluorescence of Populus euphratica

Zhao, Chun Yan, Si, Jian Hua, Feng, Qi, Yu, Teng Fei, Deo, Ravinesh C. and Luo, Huan. 2018. "Effects of ecological water transport on photosynthesis and chlorophyll fluorescence of Populus euphratica." Water Science and Technology: Water Supply. 18 (5), pp. 1747-1756. https://doi.org/10.2166/ws.2017.236

Trend analysis of Water Poverty Index for assessment of water stress and water management polices: a case study in the Hexi Corridor, China

Huang, Shan, Feng, Qi, Lu, Zhixiang, Wen, Xiaohu and Deo, Ravinesh C.. 2017. "Trend analysis of Water Poverty Index for assessment of water stress and water management polices: a case study in the Hexi Corridor, China." Sustainability. 9 (5), pp. 756-772. https://doi.org/10.3390/su9050756

Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City

Deo, Ravinesh C. and Samui, Pijush. 2017. "Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City." Journal of Hydrologic Engineering. 22 (6), pp. 1-15. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001506

Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)

Meshram, Sarita Gajbhiye, Singh, Sudhir Kumar, Meshram, Chandrashekhar, Deo, Ravinesh C. and Ambade, Balram. 2018. "Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)." Theoretical and Applied Climatology. 134, pp. 1231-1243. https://doi.org/10.1007/s00704-017-2335-y

An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production

Maraseni, Tek Narayan, Deo, Ravinesh C., Qu, Jiansheng, Gentle, Popular and Neupane, Prem Raj. 2018. "An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production." Journal of Cleaner Production. 172, pp. 2288-2300. https://doi.org/10.1016/j.jclepro.2017.11.182

Physiological response to salinity stress and tolerance mechanics of Populus euphratica

Zhao, Chun Yan, Si, Jian Hua, Feng, Qi, Deo, Ravinesh C., Yu, Teng Fei and Li, Pei Du. 2017. "Physiological response to salinity stress and tolerance mechanics of Populus euphratica." Environmental Monitoring and Assessment. 189 (11), pp. 533-543. https://doi.org/10.1007/s10661-017-6257-z

Carbon dioxide fluxes and their environmental controls in a riparian forest within the hyper-arid region of Northwest China

Ma, Xiaohong, Feng, Qi, Yu, Tengfei, Su, Yonghong and Deo, Ravinesh C.. 2017. "Carbon dioxide fluxes and their environmental controls in a riparian forest within the hyper-arid region of Northwest China." Forests. 8 (10), pp. 1-17. https://doi.org/10.3390/f8100379

Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China

Yu, Haijiao, Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Si, Jianhua and Wu, Min. 2018. "Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China." Water Resources Management. 32 (1), pp. 301-323. https://doi.org/10.1007/s11269-017-1811-6

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

Yaseen, Zaher Mundher, Deo, Ravinesh C., Hilal, Ameer, Abd, Abbas M., Bueno, Laura Cornejo, Salcedo-sanz, Sancho and Nehdi, Moncef L.. 2018. "Predicting compressive strength of lightweight foamed concrete using extreme learning machine model." Advances in Engineering Software. 115, pp. 112-125. https://doi.org/10.1016/j.advengsoft.2017.09.004

Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

Yaseen, Zaher Mundher, Ebtehaj, Isa, Bonakdari, Hossein, Deo, Ravinesh C., Mehr, Ali Danandeh, Mohtar, Wan Hanna Melini Wan, Diop, Lamine, El-Shafie, Ahmed and Singh, Vijay P.. 2017. "Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model." Journal of Hydrology. 554, pp. 263-276. https://doi.org/10.1016/j.jhydrol.2017.09.007

Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA

Yaseen, Zaher Mundher, Ghareb, Mazen Ismaeel, Ebtehaj, Isa, Bonakdari, Hossein, Siddique, Ridwan, Heddam, Sali, Yusif, Ali A. and Deo, Ravinesh. 2018. "Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA." Water Resources Management. 32 (1), pp. 105-122. https://doi.org/10.1007/s11269-017-1797-0

Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements

Yeom, Jong-Min, Deo, Ravinesh, Chun, Junghwa, Hong, Jinkyu, Kim, Dong-Su, Han, Kyung-Soo and Cho, Jaeil. 2017. "Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements." International Journal of Remote Sensing. 38 (23), pp. 7441-7456. https://doi.org/10.1080/01431161.2017.1375573

Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau

Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Li, Changbin. 2017. "Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau." Advances in Meteorology. 2017, pp. 1-15. https://doi.org/10.1155/2017/6310401

Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes

Wei, Liu, Feng, Qi and Deo, Ravinesh C.. 2018. "Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes." Theoretical and Applied Climatology. 133 (1-2), pp. 405-420. https://doi.org/10.1007/s00704-017-2194-6

Mapping heatwave vulnerability in Korea

Kim, Do-Woo, Deo, Ravinesh C., Lee, Jong-Seol and Yeom, Jong-Min. 2017. "Mapping heatwave vulnerability in Korea." Natural Hazards. 89 (1), pp. 35-55. https://doi.org/10.1007/s11069-017-2951-y

Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones

Nguyen-Huy, Thong, Deo, Ravinesh C., An-Vo, Duc-Anh, Mushtaq, Shahbaz and Khan, Shahjahan. 2017. "Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones." Agricultural Water Management. 191, pp. 153-172. https://doi.org/10.1016/j.agwat.2017.06.010

Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm

Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2017. "Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm." Atmospheric Research. 197, pp. 42-63. https://doi.org/10.1016/j.atmosres.2017.06.014

Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle

Deo, Ravinesh C., Downs, Nathan, Parisi, Alfio V., Adamowski, Jan F. and Quilty, John M.. 2017. "Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle." Environmental Research. 155, pp. 141-166. https://doi.org/10.1016/j.envres.2017.01.035

Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River, northwestern China

Zhao, Yu, Feng, Qi, Xi, Haiyang, Li, Huiya, Yang, Huaide and Deo, Ravinesh C.. 2017. "Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River, northwestern China." Chemistry and Ecology. 33 (3), pp. 181-195. https://doi.org/10.1080/02757540.2017.1287904

Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland

Deo, Ravinesh C. and Sahin, Mehmet. 2017. "Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland." Renewable and Sustainable Energy Reviews. 72, pp. 828-848. https://doi.org/10.1016/j.rser.2017.01.114

Computational intelligence approach for modeling hydrogen production: a review

Faizollahzadeh, Sina, Najafi, Bahman, Shamshirband, Shahaboddin, Bidgoli, Behrouz Minaei, Deo, Ravinesh Chand and Chau, Kwok-wing. 2018. "Computational intelligence approach for modeling hydrogen production: a review." Engineering Applications of Computational Fluid Mechanics. 12 (1), pp. 438-458. https://doi.org/10.1080/19942060.2018.1452296

Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq

Yaseen, Zaher Mundher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John and El-Shafie, Ahmed. 2016. "Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq." Journal of Hydrology. 542, pp. 603-614. https://doi.org/10.1016/j.jhydrol.2016.09.035

Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea

Kim, Su-Jeong, Byun, Hi-Ryong and Deo, Ravinesh C.. 2016. "Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea." Asia-Pacific Journal of Atmospheric Sciences. 52 (4), pp. 379-393. https://doi.org/10.1007/s13143-016-0012-1

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland

Deo, Ravinesh C. and Sahin, Mehmet. 2016. "An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland." Environmental Monitoring and Assessment. 188 (90). https://doi.org/10.1007/s10661-016-5094-9

Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F. and Quilty, John M.. 2017. "Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model." Stochastic Environmental Research and Risk Assessment. 31 (5), pp. 1211-1240. https://doi.org/10.1007/s00477-016-1265-z

Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

Deo, Ravinesh C., Kisi, Ogzur and Singh, Vijay P.. 2017. "Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model." Atmospheric Research. 184, pp. 149-175. https://doi.org/10.1016/j.atmosres.2016.10.004

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

Deo, Ravinesh C., Wen, Xiaohu and Feng, Qi. 2016. "A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset." Applied Energy. 168, pp. 568-593. https://doi.org/10.1016/j.apenergy.2016.01.130

Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index

Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2016. "Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index." 2016 IEEE Region 10 International Conference: Technologies for Smart Nation (TENCON 2016). Singapore 22 - 25 Nov 2016 Singapore. https://doi.org/10.1109/TENCON.2016.7848588

Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria

Mouatadid, Soukayna, Deo, Ravinesh C. and Adamowski, Jan F.. 2015. "Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 United States. https://doi.org/10.1109/ICMLA.2015.87

Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India

Shukla, Rituraj, Deo, Ravinesh and Khare, Deepak. 2015. "Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 USA. https://doi.org/10.1109/ICMLA.2015.75

Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms

Salcedo-sanz, S., Deo, R. C., Carro-Calvo, L. and Saavedra-Moreno, B.. 2016. "Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms." Theoretical and Applied Climatology. 125 (1-2), pp. 13-25. https://doi.org/10.1007/s00704-015-1480-4

Projection of heat wave mortality related to climate change in Korea

Kim, Do-Woo, Deo, Ravinesh C., Chung, Jea-Hak and Lee, Jong-Seol. 2016. "Projection of heat wave mortality related to climate change in Korea." Natural Hazards. 80 (1), pp. 623-637. https://doi.org/10.1007/s11069-015-1987-0

Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

Deo, Ravinesh C., Samui, Pijush and Kim, Dookie. 2016. "Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models." Stochastic Environmental Research and Risk Assessment. 30 (6), pp. 1769-1784. https://doi.org/10.1007/s00477-015-1153-y

Numerical modelling of the velocity field of a plane jet flow at moderate jet exit Reynolds numbers

Mossad, Ruth and Deo, Ravinesh C.. 2015. "Numerical modelling of the velocity field of a plane jet flow at moderate jet exit Reynolds numbers." Solnordal, C. B., Liovic, P., Delaney, G. W., Cummins, S. J., Schwarz, M. P. and Witt, P. J. (ed.) 11th International Conference on CFD in the Minerals and Process Industries. Melbourne, Australia 07 - 09 Dec 2015 Melbourne, Australia.

On the new concept of the available water climatology and its application

Byun, H. R., Kim, D. W., Choi, K. S., Deo, R. C., Lee, S. M., Park, C. K., Kwon, S. H., Kim, G. B. and Kwon, H. N.. 2014. "On the new concept of the available water climatology and its application." American Geophysical Union, Fall Meeting 2014. San Francisco, United States 15 - 19 Dec 2014 San Francisco, USA.

A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events

Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F. and Kim, Do-Woo. 2015. "A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events." Water Resources Management. 29 (11), pp. 4075-4093. https://doi.org/10.1007/s11269-015-1046-3

Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia

Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia." Atmospheric Research. 161-162, pp. 65-81. https://doi.org/10.1016/j.atmosres.2015.03.018

Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation

Deo, R. C., Byun, H. R., Adamowski, J. F. and Kim, D. W.. 2014. "Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation." International Conference on Analysis and Management of Changing Risks for Natural Hazards (2014). Padua, Italy Padua, Italy.

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia." Atmospheric Research. 153, pp. 512-525. https://doi.org/10.1016/j.atmosres.2014.10.016

Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea

Park, Chang-Kyun, Byun, Hi-Ryong, Deo, Ravinesh and Lee, Bo-Ra. 2015. "Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea." Journal of Hydrology. 526, pp. 221-230. https://doi.org/10.1016/j.jhydrol.2014.10.043

Influence of sidewalls on the centerline small-scale turbulence of a turbulent high-aspect-ratio rectangular jet

Liu, Y., Zhang, J., Deo, R., Mi, J., Nathan, G. J. and Zhu, R.. 2014. "Influence of sidewalls on the centerline small-scale turbulence of a turbulent high-aspect-ratio rectangular jet." Experimental Thermal and Fluid Science. 58, pp. 139-144. https://doi.org/10.1016/j.expthermflusci.2014.06.021

Comparative analysis of turbulent plane jets from a sharp-edged orifice, a beveled-edge orifice and a radially contoured nozzle

Deo, Ravinesh C.. 2013. "Comparative analysis of turbulent plane jets from a sharp-edged orifice, a beveled-edge orifice and a radially contoured nozzle." International Journal of Mechanical, Industrial Science and Engineering. 7 (12), pp. 1471-1480.

The role of nozzle-exit conditions on the flow field of a plane jet

Deo, Ravinesh C.. 2013. "The role of nozzle-exit conditions on the flow field of a plane jet." International Journal of Mechanical, Industrial Science and Engineering. 7 (12), pp. 1059-1069.

Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers

Deo, Ravinesh C., Nathan, Graham J. and Mi, Jianchun. 2013. "Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers." Physics of Fluids. 25 (1). https://doi.org/10.1063/1.4776782

Modelling impacts of vegetation cover change on regional climate

McAlpine, Clive A., Syktus, Jozef I., Deo, Ravinesh C., Lawrence, Peter J., McGowan, Hamish A., Watterson, Ian G. and Phinn, Stuart R.. 2009. Modelling impacts of vegetation cover change on regional climate. Canberra, Australia. Land and Water Australia.

On meteorological droughts in tropical Pacific Islands: time-series analysis of observed rainfall using Fiji as a case study

Deo, Ravinesh C.. 2011. "On meteorological droughts in tropical Pacific Islands: time-series analysis of observed rainfall using Fiji as a case study." Meteorological Applications. 18 (2), pp. 171-180. https://doi.org/10.1002/met.216

The influence of Reynolds number on a plane jet

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2008. "The influence of Reynolds number on a plane jet." Physics of Fluids. 20 (7). https://doi.org/10.1063/1.2959171

Impact of land cover change on regional climate and El Nino in Australia

Syktus, J., Deo, R. C., McAlpine, C. A., McGowan, H. A. and Phinn, S.. 2007. "Impact of land cover change on regional climate and El Nino in Australia." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Australia. Modelling and Simulation Society of Australia and New Zealand .

On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005

Deo, R. C., McAlpine, C. A., Syktus, J., McGowan, H. A. and Phinn, S.. 2007. "On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Australia. Modelling and Simulation Society of Australia and New Zealand .

Characterization of turbulent jets from high-aspect-ratio rectangular nozzles

Mi, J., Deo, R. C. and Nathan, G. J.. 2005. "Characterization of turbulent jets from high-aspect-ratio rectangular nozzles." Physics of Fluids. 17 (6). https://doi.org/10.1063/1.1928667

Dynamics of precipitation climatology of the Southwest Pacific Region

Deo, Ravinesh Chand. 2001. Dynamics of precipitation climatology of the Southwest Pacific Region. Masters Thesis Master of Science (Research). University of Canterbury, New Zealand.

Climatology of tropical cyclones in the South Pacific Region and their relationships to El Niño events

Deo, Ravinesh C.. 2004. "Climatology of tropical cyclones in the South Pacific Region and their relationships to El Niño events." 16th Australia New Zealand Climate Forum: Climate and Water (ANZCF2004). Lorne, Australia 08 - 10 Nov 2004 Lorne, Vic, Australia.

Designing an evaluation of a tertiary preparatory program within the university context

Deo, Ravinesh. 2011. "Designing an evaluation of a tertiary preparatory program within the university context." PAMA 2011: Global Educators for Contemporary Learning Communities. Toowoomba, Australia 30 May - 10 Jun 2011 Toowoomba, Australia.

Modeling the impact of historical land cover change on Australia's regional climate

McAlpine, C. A., Syktus, J., Deo, R. C., Lawrence, P. J., McGowan, H. A., Watterson, I. G. and Phinn, Stuart. 2007. "Modeling the impact of historical land cover change on Australia's regional climate." Geophysical Research Letters. 34 (22), pp. L22711-1. https://doi.org/10.1029/2007GL031524

Impacts of land use/land cover change on climate and future research priorities

Mahmood, Rezaul, Pielke, Roger A., Hubbard, Kenneth G., Niyogi, Dev, Bonan, Gordon, Lawrence, Peter, McNider, Richard, McAlpine, Clive, Etter, Andres, Gameda, Samuel, Qian, Budong, Carleton, Andrew, Beltran-Przekurat, Adriana, Chase, Thomas, Quintanar, Arturo I., Adegoke, Jimmy O., Vezhapparambu, Sajith, Conner, Glen, Asefi, Salvi, ..., Syktus, Jozef. 2010. "Impacts of land use/land cover change on climate and future research priorities." Bulletin of the American Meteorological Society. 91 (1), pp. 37-46. https://doi.org/10.1175/2009BAMS2769.1

On the influence of initial conditions on a turbulent plane jet: the role of nozzle exit area

Deo, Ravinesh C., Nathan, Graham Jerold and Mi, Jianchun. 2010. "On the influence of initial conditions on a turbulent plane jet: the role of nozzle exit area." Mallinson, G. D. and Cater, J. E. (ed.) 17th Australasian Fluid Mechanics Conference (AFMC 2010). Auckland, New Zealand 05 - 09 Dec 2010 Auckland, New Zealand.

Links between native forest and climate in Australia

Deo, Ravinesh C.. 2011. "Links between native forest and climate in Australia." Weather. 66 (3), pp. 64-69. https://doi.org/10.1002/wea.659

The simulated impact of land cover change on climate extremes in eastern Australia

Deo, R. C., Syktus, J. I., McAlpine, C. A. and Wong, K. K.. 2009. "The simulated impact of land cover change on climate extremes in eastern Australia." Anderssen, R. S., Braddock, R. D. and Newham, L. T. H. (ed.) 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Cairns, Australia 13 - 17 Jul 2009 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .

Effect of exit Reynolds number on self-preservation of a plane jet

Mi, Jianchun, Feng, Baoping, Deo, Ravinesh C. and Nathan, Graham J.. 2009. "Effect of exit Reynolds number on self-preservation of a plane jet." Chinese Physics B. 58 (11), pp. 7756-7764.

A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate

McAlpine, C. A., Syktus, J., Ryan, J. G., Deo, R. C., McKeon, G. M., McGowan, H. A. and Phinn, S. R.. 2009. "A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate." Global Change Biology. 15 (9), pp. 2206-2223. https://doi.org/10.1111/j.1365-2486.2009.01939.x

Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia

Deo, R. C., Syktus, J. I., McAlpine, C. A., Lawrence, P. J., McGowan, H. A. and Phinn, S. R.. 2009. "Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia." Geophysical Research Letters. 36 (8), pp. 1-5. https://doi.org/10.1029/2009GL037666

Experimental investigations of the effect of Reynolds number on a plane jet

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "Experimental investigations of the effect of Reynolds number on a plane jet." Jacobs, Peter A., McIntyre, Tim, Cleary, Matthew J., Buttsworth, David R., Mee, David, Clements, Rose, Morgan, Richard and Lemckert, Charles (ed.) 16th Australasian Fluid Mechanics Conference (AFMC 2007). Gold Coast, Australia 03 - 07 Dec 2007 Brisbane, Australia.

The influence of nozzle-exit geometric profile on statistical properties of a turbulent plane jet

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "The influence of nozzle-exit geometric profile on statistical properties of a turbulent plane jet." Experimental Thermal and Fluid Science. 32 (2), pp. 545-559. https://doi.org/10.1016/j.expthermflusci.2007.06.004

The influence of nozzle aspect ratio on plane jets

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "The influence of nozzle aspect ratio on plane jets." Experimental Thermal and Fluid Science. 31 (8), pp. 825-838. https://doi.org/10.1016/j.expthermflusci.2006.08.009

Total rain accumulation and rain-rate analysis for small tropical Pacific islands: a case study of Suva, Fiji

Kumar, Vickal V., Deo, Ravinesh C. and Ramachandran, Visagaperuman. 2006. "Total rain accumulation and rain-rate analysis for small tropical Pacific islands: a case study of Suva, Fiji." Atmospheric Science Letters. 7 (3), pp. 53-58. https://doi.org/10.1002/asl.131

Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales

Mi, Jianchun, Deo, Ravinesh C. and Nathan, Graham J.. 2005. "Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales." Physical Review E. 71 (6), pp. 1-5. https://doi.org/10.1103/PhysRevE.71.066304

An investigation on rainfall patterns and the general circulation in the southwest Pacific region

Deo, Ravinesh C.. 2004. "An investigation on rainfall patterns and the general circulation in the southwest Pacific region." 16th Australia New Zealand Climate Forum: Climate and Water (ANZCF2004). Lorne, Australia 08 - 10 Nov 2004 Lorne, Vic, Australia.

Comparison of turbulent jets issuing from rectangular nozzles with and without sidewalls

Deo, Ravinesh C., Nathan, Graham J. and Mi, Jianchun. 2007. "Comparison of turbulent jets issuing from rectangular nozzles with and without sidewalls." Experimental Thermal and Fluid Science. 32 (2), pp. 596-606. https://doi.org/10.1016/j.expthermflusci.2007.06.009

Dependence of a plane turbulent jet on its nozzle contraction profile

Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2005. "Dependence of a plane turbulent jet on its nozzle contraction profile." Jets, Wakes and Separated Flows: International Conference on Jets, Wakes and Separated Flows (ICJWSF) (2005). Mie, Japan 05 - 08 Oct 2005 Mie, Japan.

An investigation of the influence of nozzle aspect ratio on the velocity field of turbulent plane jet

Deo, R. C., Mi, J. and Nathan, G. J.. 2004. "An investigation of the influence of nozzle aspect ratio on the velocity field of turbulent plane jet." Behnia, M., Lin, W. and McBain, G. D. (ed.) 15th Australasian Fluid Mechanics Conference (AFMC 2004). Sydney, Australia 13 - 17 Dec 2004 Sydney, Australia.