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

Article


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
Article Title

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

ERA Journal ID18106
Article CategoryArticle
AuthorsBargshady, Ghazal (Author), Zhou, Xujuan (Author), Barua, Prabal Datta (Author), Gururajan, Raj (Author), Li, Yuefeng (Author) and Acharya, U. Rajendra (Author)
Journal TitlePattern Recognition Letters
Journal Citation153, pp. 67-74
Number of Pages8
Year2022
PublisherElsevier
Place of PublicationNetherlands
ISSN0167-8655
1872-7344
Digital Object Identifier (DOI)https://doi.org/10.1016/j.patrec.2021.11.020
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0167865521004128
Abstract

Coronavirus (which is also known as COVID-19) is severely impacting the wellness and lives of many across the globe. There are several methods currently to detect and monitor the progress of the disease such as radiological image from patients’ chests, measuring the symptoms and applying polymerase chain reaction (RT-PCR) test. X-ray imaging is one of the popular techniques used to visualise the impact of the virus on the lungs. Although manual detection of this disease using radiology images is more popular, it can be time-consuming, and is prone to human errors. Hence, automated detection of lung pathologies due to COVID-19 utilising deep learning (Bowles et al.) techniques can assist with yielding accurate results for huge databases. Large volumes of data are needed to achieve generalizable DL models; however, there are very few public databases available for detecting COVID-19 disease pathologies automatically. Standard data augmentation method can be used to enhance the models’ generalizability. In this research, the Extensive COVID-19 X-ray and CT Chest Images Dataset has been used and generative adversarial network (GAN) coupled with trained, semi-supervised CycleGAN (SSA- CycleGAN) has been applied to augment the training dataset. Then a newly designed and finetuned Inception V3 transfer learning model has been developed to train the algorithm for detecting COVID-19 pandemic. The obtained results from the proposed Inception-CycleGAN model indicated Accuracy = 94.2%, Area under Curve = 92.2%, Mean Squared Error = 0.27, Mean Absolute Error = 0.16. The developed Inception-CycleGAN framework is ready to be tested with further COVID-19 X-Ray images of the chest.

KeywordsCOVID19; Deep Learning; Transfer Learning; CycleGAN; Radiological image processing
ANZSRC Field of Research 2020460299. Artificial intelligence not elsewhere classified
461103. Deep learning
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Institution of OriginUniversity of Southern Queensland
Byline AffiliationsSchool of Business
Queensland University of Technology
Kumamoto University, Japan
Ngee Ann Polytechnic, Singapore
Singapore University of Social Sciences (SUSS), Singapore
Asia University, Taiwan
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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
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
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. 2023. "Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D’hondt pooling technique." Cognitive Neurodynamics. https://doi.org/10.1007/s11571-023-10005-9
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
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
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
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals
WeiKoh, Joel En, Rajinikanth, Venkatesan, Vicnesh, Jahmunah, Pham, The-Hanh, Oh, Shu Lih, Yeong, Chai Hong, Sankaranarayanan, Meena, Kamath, Aditya, Bairy, Giliyar Muralidhar, Barua, Prabal Datta and Cheong, Kang Hao. 2022. "Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals." Expert Systems: the journal of knowledge engineering. https://doi.org/10.1111/exsy.12957
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
A systematic review of literature on credit card cyber fraud detection using machine and deep learning
Marazqah Btoush, Eyad Abdel Latif, Zhou, Xujuan, Gururajan, Raj, Chan, Ka Ching, Genrich, Rohan and Sankaran, Prema. 2023. "A systematic review of literature on credit card cyber fraud detection using machine and deep learning." PeerJ Computer Science. 9 (1). https://doi.org/10.7717/peerj-cs.1278
Topic Integrated Opinion-Based Drug Recommendation With Transformers
Job, Simi, Tao, Xiaohui, Li, Y., Li, Lin and Yong, Jianming. 2023. "Topic Integrated Opinion-Based Drug Recommendation With Transformers ." IEEE Transactions on Emerging Topics in Computational Intelligence. 7 (6), pp. 1676-1686. https://doi.org/10.1109/TETCI.2023.3246559
Research on agricultural product quality traceability system based on blockchain technology
Zheng, Fang, Huang, Siyuan, Zhou, Xiong, Ta, Shujun, Zhou, Xujuan, Chan, Ka Ching and Gururajan, Raj. 2023. "Research on agricultural product quality traceability system based on blockchain technology ." Web Intelligence. https://doi.org/10.3233/WEB-220088
Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals
Gao, Shang, Zhu, Guohun, Bialkowski, Alina and Zhou, Xujuan. 2023. "Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals." Mathematics. 11 (2), pp. 1-9. https://doi.org/10.3390/math11020464
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." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 13 (2). https://doi.org/10.1002/widm.1485
Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques
Gopalakrishnan, Abinaya, Venkataraman, Revathi, Gururajan, Raj, Zhou, Xujuan and Zhu, Guohun. 2022. "Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques." Mathematics. 10 (23). https://doi.org/10.3390/math10234570
Detecting Depression Using Single-Channel EEG and Graph Methods
Zhu, Guohun, Qiu, Tong, Ding, Yi, Gao, Shang, Zhao, Nan, Liu, Feng, Zhou, Xujuan and Gururajan, Raj. 2022. "Detecting Depression Using Single-Channel EEG and Graph Methods." Mathematics. 10 (22), pp. 1-10. https://doi.org/10.3390/math10224177
AI enabled RPM for Mental Health Facility
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Xie, Haoran, Gururajan, Raj and Zhou, Xujuan. 2022. "AI enabled RPM for Mental Health Facility." 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare (WMSSH 2022). Sydney, Australia 21 Oct 2022 New York, United States. https://doi.org/10.1145/3556551.3561191
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
Adaptive Fault Resolution for Database Replication Systems
Wee, Chee Keong, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui and Wee, Nathan. 2022. "Adaptive Fault Resolution for Database Replication Systems." Li, Bohan, Yue, Lin, Jiang, Jing, Chen, Weitong, Li, Xue, Long, Guodong, Fang, Fei and Yu, Han (ed.) 17th International Conference on Advanced Data Mining and Applications (ADMA 2021). Sydney, Australia 02 - 04 Feb 2022 Berlin. Springer. https://doi.org/10.1007/978-3-030-95405-5_26
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
Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review
Gopalakrishnan, Abinaya, Venkataraman, Revathi, Gururajan, Raj, Xujuan, Zhou and Genrich, Rohan. 2022. "Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review." PeerJ Computer Science. 8, pp. 1-34. https://doi.org/10.7717/peerj-cs.1042
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
A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security
Btoush, Eyad, Zhou, Xujuan, Gururajan, Raj, Chan, KC and Tao, XiaoHui. 2021. "A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security." 8th IEEE International Conference on Behavioural and Social Computing (BESC 2021). Doha, Qatar 29 - 31 Oct 2021 Doha, Qatar. https://doi.org/10.1109/BESC53957.2021.9635559
Reordering and Partitioning of Distributed Quantum Circuits
Dadkhah, Davood, Zomorodi, Mariam, Hosseini, Seyed Ebrahim, Plawiak, Pawel and Zhou, Xujuan. 2022. "Reordering and Partitioning of Distributed Quantum Circuits." IEEE Access. 10, pp. 70329-70341. https://doi.org/10.1109/ACCESS.2022.3186485
Talent management as a core source of innovation and social development in higher education
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2018. "Talent management as a core source of innovation and social development in higher education." Parrish, Dominique (ed.) Innovations in higher education: cases on transforming and advancing practice. London, United Kingdom. IntechOpen. pp. 1-31
A survey on detection of cybersecurity threats on Twitter using deep learning
Alsodi, Omar, Zhou, Xujuan, Gururajan, Raj and Shrestha, Anup. 2021. "A survey on detection of cybersecurity threats on Twitter using deep learning." Xu, Guandong, Ali, Raian, Zaghouani, Wajdi, Tao, Xiaohui and Li, Lin (ed.) 8th IEEE International Conference on Behavioural and Social Computing (BESC 2021). Doha, Qatar 29 - 31 Oct 2021 United States. https://doi.org/10.1109/BESC53957.2021.9635406
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
A Secured Movie Recommendation System using Decentralized Blockchain Network
Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2022. "A Secured Movie Recommendation System using Decentralized Blockchain Network." 9th International Conference on Behavior, Economic and Social Computing (BESC 2022). Matsuyama, Japan 29 202 - 31 Oct 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BESC57393.2022.9995357
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
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. 2022. "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. https://doi.org/10.1111/exsy.12939
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
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.. 2022. "Automated accurate emotion classification using Clefia pattern-based features with EEG signals." International Journal of Healthcare Management. https://doi.org/10.1080/20479700.2022.2141694
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
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. 2022. "Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review." Cognitive Neurodynamics. https://doi.org/10.1007/s11571-022-09904-0
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
Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences
Erten, Mehmet, Acharya, Madhav R., Kamath, Aditya P., Sampathila, Niranjana, Bairy, G. Muralidhar, Aydemir, Emrah, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul and Tuncer, Turker. 2022. "Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences." Diagnostics. 12 (12). https://doi.org/10.3390/diagnostics12123181
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
A new lateral geniculate nucleus pattern-based environmental sound classification using a new large sound dataset
Tasci, Burak, Acharya, Madhav R., Barua, Prabal Datta, Yildiz, Arif Metehan, Gun, Mehmet Veysel, Keles, Tugce, Dogan, Sengul and Tuncer, Turker. 2022. "A new lateral geniculate nucleus pattern-based environmental sound classification using a new large sound dataset." Applied Acoustics. 196. https://doi.org/10.1016/j.apacoust.2022.108897
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
Development and Validation of a Dynamic Tool to Predict Aggressive Patient Behaviours in Hospital Settings: Artificial Intelligence-Based Approaches
Gururajan, R, Kondalsamy-Chennakesavan, S, Zhou, X. and Boon, K. 2022. "Development and Validation of a Dynamic Tool to Predict Aggressive Patient Behaviours in Hospital Settings: Artificial Intelligence-Based Approaches." Royal Australian College of Physicians (RACP) Congress 2022. Sydney, Australia 15 - 19 May 2022 SAGE Publications Ltd.
Integration of blockchains with management information systems
Chan, Ka Ching, Zhou, Xujuan, Gururajan, Raj, Zhou, Xiong, Ally, Mustafa and Gardiner, Michael. 2020. "Integration of blockchains with management information systems." Tamba, Tua A. (ed.) 2019 International Conference on Mechatronics, Robotics and Systems Engineering (MoRSE 2019). Bali, Indonesia 04 - 06 Dec 2019 https://doi.org/10.1109/MoRSE48060.2019.8998694
Twitter analysis for depression on social networks based on sentiment and stress
Tao, Xiaohui, Dharmalingam, Ravi, Zhang, Ji, Zhou, Xujuan, Li, Lin and Gururajan, Raj. 2019. "Twitter analysis for depression on social networks based on sentiment and stress." 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2019). Beijing, China 28 - 30 Oct 2019 United States. https://doi.org/10.1109/BESC48373.2019.8963550
MeKG: building a medical knowledge graph by data mining from MEDLINE
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhou, Xujuan and Gururajan, Raj. 2019. "MeKG: building a medical knowledge graph by data mining from MEDLINE." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_16
A Case Study of Predicting Banking Customers Behaviour by Using Data Mining
Zhou, Xujuan, Bargshady, Ghazal, Abdar, Moloud, Tao, Xiaohui, Gururajan, Raj and Chan, K. C.. 2019. "A Case Study of Predicting Banking Customers Behaviour by Using Data Mining." 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2019). Beijing, China 28 - 30 Oct 2019 United States. https://doi.org/10.1109/BESC48373.2019.8963436
Factors influencing the adoption of electronic health records in the Australian environment
Ouheda, Salem, Hafeez-Baig, Abdul, Chakraborty, Subrata and Gururajan, Raj. 2019. "Factors influencing the adoption of electronic health records in the Australian environment." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
Towards effective knowledge application capability in ITSM through socialisation, externalisation, internalisation and combination
Fathi, Abdulazeez, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "Towards effective knowledge application capability in ITSM through socialisation, externalisation, internalisation and combination." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
An investigation into usability of big data analytics in the management of Type 2 Diabetes Mellitus
Bhotta, Dinakar, Hafeez-Baig, Abdul, Gururajan, Raj, Chakraborty, Subrata, Kavuri, Srinivas P. and Krishnan, Dharini. 2019. "An investigation into usability of big data analytics in the management of Type 2 Diabetes Mellitus." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
Business model experimentation through technology and management innovation using cloud computing
Heaton, John, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "Business model experimentation through technology and management innovation using cloud computing." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
Understanding factors influencing adoption of mobile devices in telehealth: a quantitative study
Rani, Vasundhara, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "Understanding factors influencing adoption of mobile devices in telehealth: a quantitative study." 24th Asia Pacific DSI Conference Program (APDSI 2019). Brisbane, Australia 15 - 18 Jul 2019
Conceptual framework for telehealth adoption in Indian healthcare
Chowdhury, Avijit, Hafeez-Baig, Abdul, Gururajan, Raj and Chakraborty, Subrata. 2019. "Conceptual framework for telehealth adoption in Indian healthcare." 24th Asia Pacific DSI Conference Program (APDSI 2019). Brisbane, Australia 15 - 18 Jul 2019
Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach
Abdar, Moloud, Nasarian, Elham, Zhou, Xujuan, Bargshady, Ghazal, Wijayaningrum, Vivi Nur and Hussain, Sadiq. 2019. "Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach." 4th IEEE International Conference on Computer and Communication Systems (ICCCS 2019). Singapore 23 - 25 Feb 2019 Singapore. https://doi.org/10.1109/CCOMS.2019.8821633
A set of quality metrics for the evaluation of voice termination services
Chan, Ka C., Zhou, Xujuan, Gururajan, Raj and Barua, Prabal. 2018. "A set of quality metrics for the evaluation of voice termination services." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/BESC.2018.00036
Based on the internet plus the safety of agricultural products traceability research
Zhou, Xiong, Zheng, Fang, Chan, Ka C., Zhou, Xujuan, Gururajan, Raj, Wu, Zhangguang and Zhou, Enxing. 2018. "Based on the internet plus the safety of agricultural products traceability research." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 United States. https://doi.org/10.1109/BESC.2018.8697322
An ensemble-based decision tree approach for educational data mining
Abdar, Moloud, Zomorodi-Moghadam, Mariam and Zhou, Xujuan. 2018. "An ensemble-based decision tree approach for educational data mining." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/BESC.2018.00033
Role of Accessory Right Inferior Hepatic Veins in evaluation of Liver Transplantation
Ahmed, Awais, Hafeez-Baig, Abdul, Sharif, Mirza Akmal, Ahmed, Umair, Ahmed, Shozab and Gururajan, Raj. 2017. "Role of Accessory Right Inferior Hepatic Veins in evaluation of Liver Transplantation." Annals of Clinical Gastroenterology and Hepatology. 1 (1), pp. 12-16. https://doi.org/10.29328/journal.acgh.1001004
Graph-based multi-label disease prediction model learning from medical data and domain knowledge
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Li, Yuefeng and Xie, Haoran. 2022. "Graph-based multi-label disease prediction model learning from medical data and domain knowledge." Knowledge-Based Systems. 235, pp. 1-15. https://doi.org/10.1016/j.knosys.2021.107662
Development of a survey instrument to explore telehealth adoption in the healthcare domain
Chowdhury, Avijit, Hafeez-Baig, Abdul and Gururajan, Raj. 2021. "Development of a survey instrument to explore telehealth adoption in the healthcare domain." Yamamoto, Sakae and Mori, Hirohiko (ed.) 23RD International Conference on Human-Computer Interaction (HCII 2021). Washington DC, United States 24 - 29 Jul 2021 Switzerland. https://doi.org/10.1007/978-3-030-78361-7_16
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
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
The hidden reasons of the Vietnamese parents for paying private tuition fees for public school teachers
Nguyen, The Cuong, Hafeez-Baig, Abdul, Gururajan, Raj and Nguyen, Nam C.. 2021. "The hidden reasons of the Vietnamese parents for paying private tuition fees for public school teachers." Social Sciences & Humanities Open. 3 (1), pp. 1-10. https://doi.org/10.1016/j.ssaho.2021.100105
The role of image quality in telehealth: adoption challenges in the subcontinent
Chowdhury, Avijit, Hafeez-Baig, Abdul, Gururajan, Raj, McCubbin, Amanda, Sharif, Mirza Akmal and Miah, Shah J.. 2021. "The role of image quality in telehealth: adoption challenges in the subcontinent." Pacific Asia Journal of the Association for Information Systems. 13 (3), pp. 131-145. https://doi.org/10.17705/1pais.13307
Application of Quantum Natural Language Processing for Language Translation
Abbaszade, Mina, Salari, Vahid, Mousavi, S. Shahin, Zomorodi, Mariam and Zhou, Xujuan. 2021. "Application of Quantum Natural Language Processing for Language Translation." IEEE Access. 9, pp. 130434-130448. https://doi.org/10.1109/ACCESS.2021.3108768
Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities
Tao, Xiaohui, Shaik, Thanveer Basha, Higgins, Niall, Gururajan, Raj and Zhou, Xujuan. 2021. "Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities." Sensors. 21 (3), pp. 1-20. https://doi.org/10.3390/s21030776
A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues
Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Zhou, Xujuan, Li, Lin and Cai, Yi. 2021. "A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues." The Computer Journal. 64 (7), pp. 1104-1129. https://doi.org/10.1093/comjnl/bxab065
Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models
Body, Thomas, Tao, Xiaohui, Li, Yuefeng, Li, Lin and Zhong, Ning. 2021. "Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models." Expert Systems with Applications. 178, pp. 1-12. https://doi.org/10.1016/j.eswa.2021.115033
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
A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection
Zhou, Xujuan, Li, Yuefeng, Gururajan, Raj, Bargshady, Ghazal, Tao, Xiaohui, Venkataraman, Revathi, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection." 7th International Conference on Behavioural and Social Computing (BESC 2020). Bournemouth, United Kingdom 05 - 07 Nov 2020 United Kingdom. https://doi.org/10.1109/BESC51023.2020.9348322
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
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
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
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 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
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
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
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
Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images
Bargshady, Ghazal. 2020. Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/kjka-n867
The Adoption of Mobile Technologies in Healthcare: The Perceptions of Healthcare Professionals Regarding Knowledge Management Practices in Developing Countries
Chowdhury, Avijit, Hafeez-Baig, Abdul, Gururajan, Raj and Sharif, Mirza Akmal. 2020. "The Adoption of Mobile Technologies in Healthcare: The Perceptions of Healthcare Professionals Regarding Knowledge Management Practices in Developing Countries." Stephanidis, Constantine, Salvendy, Gavriel, Wei, June, Yamamoto, Sakae, Mori, Hirohiko, Meiselwitz, Gabriele, Nah, Fiona Fui-Hoon and Siau, Keng (ed.) 22nd Human-Computer Interaction International Conference (HCI International 2020). Copenhagen, Denmark 19 - 24 Jul 2020 Switzerland. https://doi.org/10.1007/978-3-030-60152-2_5
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
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
A survey on text classification and its applications
Zhou, Xujuan, Gururajan, Raj, Li, Yuefeng, Venkataraman, Revathi, Tao, Xiaohui, Bargshady, Ghazala, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A survey on text classification and its applications." Web Intelligence. 18 (2), pp. 205-216. https://doi.org/10.3233/WEB-200442
From Traceability to Provenance of Agricultural Products through Blockchain
Zhou, Xiong, Zheng, Fang, Zhou, Xujuan, Chan, Ka Ching, Gururajan, Raj, Wu, Zhangguang and Zhou, Enxing. 2020. "From Traceability to Provenance of Agricultural Products through Blockchain." Web Intelligence. 18 (3), pp. 181-189. https://doi.org/10.3233/WEB-200440
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
Determination of factors influencing student engagement using a learning management system in a tertiary setting
Barua, Prabal Datta. 2020. Determination of factors influencing student engagement using a learning management system in a tertiary setting. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/Z9AS-4P42
Classification of malignant and benign lung nodule and prediction of image label class using multi-deep model
Zia, Muahammad Bilal, Zhao, Juan Juan, Zhou, Xujuan, Xiao, Ning, Wang, Jiawen and Khan, Ammad. 2020. "Classification of malignant and benign lung nodule and prediction of image label class using multi-deep model." International Journal of Advanced Computer Science and Applications. 11 (3), pp. 35-41.
The effect of talent management processes on knowledge creation: a case of Australian higher education
Mohammed, Atheer Abdullah, Hafeez Baig, Abdul and Gururajan, Raj. 2019. "The effect of talent management processes on knowledge creation: a case of Australian higher education." Journal of Industry-University Collaboration. 1 (3), pp. 132-152. https://doi.org/10.1108/JIUC-05-2019-0010
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
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 comprehensive analysis of adverb types for mining user sentiments on Amazon product reviews
Chauhan, Ummara Ahmed, Afzal, Muhammad Tanvir, Shahid, Abdul, Abdar, Moloud, Basiri, Mohammad Ehsan and Zhou, Xujuan. 2020. "A comprehensive analysis of adverb types for mining user sentiments on Amazon product reviews." World Wide Web. 23 (3), pp. 1811-1829. https://doi.org/10.1007/s11280-020-00785-z
Understanding the factors that influence brand-image of a business school brand: a recruiters prospective
Kavuri, Srinivas Phani, Hafeez-Baig, Abdul, Gururajan, Raj and Bhotta, Dinakar. 2019. "Understanding the factors that influence brand-image of a business school brand: a recruiters prospective." Kerr, Don, Blake, Jacqueline, Wang, Mingzhong and Tham, Aaron (ed.) 24th Annual Conference of the Asia Pacific DecisionSciences Institute: Technology Supporting People and Decision Making. Brisbane, Australia 15 - 18 Jul 2019 Brisbane, QLD, Australia.
Improving Sentiment Polarity Detection Through Target Identification
Basiri, Mohammad Ehsan, Abdar, Moloud, Kabiri, Arman, Nemati, Shahla, Zhou, Xujuan, Allahbakhshi, Forough and Yen, Neil Y.. 2020. "Improving Sentiment Polarity Detection Through Target Identification." IEEE Transactions on Computational Social Systems. 7 (1), pp. 113-128. https://doi.org/10.1109/TCSS.2019.2951326
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
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
Insights into relevant knowledge extraction techniques: a comprehensive review
Shahid, Abdul, Afzal, Muhammad Tanvir, Abdar, Moloud, Basiri, Mohammad Ehsan, Zhou, Xujuan, Yen, Neil Y. and Chang, Jia‑Wei. 2020. "Insights into relevant knowledge extraction techniques: a comprehensive review." Journal of Supercomputing. 76 (3), pp. 1695-1733. https://doi.org/10.1007/s11227-019-03009-y
Simulation study on passive buildings’ demand incentive based on evolutionary game
Liu, Kai, Zhou, Hongmin, Kou, Yuanyuan, Zhang, Jiabao, Zhou, Xujuan and Zhang, Xiantang. 2019. "Simulation study on passive buildings’ demand incentive based on evolutionary game." Journal of Intelligent and Fuzzy Systems. 37, pp. 3163-3174. https://doi.org/10.3233/JIFS-179118
An exploratory qualitative research to address processes that are utilised for managing knowledge: a case study in a Queensland regional University
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "An exploratory qualitative research to address processes that are utilised for managing knowledge: a case study in a Queensland regional University." International Journal of Higher Education and Sustainability. 2 (3), pp. 173-196. https://doi.org/10.1504/IJHES.2019.101954
Deep learning model for detection of pain intensity from facial expression
Soar, Jeffrey, Bargshady, Ghazal, Zhou, Xujuan and Whittaker, Frank. 2018. "Deep learning model for detection of pain intensity from facial expression." Mokhtari, Mounir, Abdulrazak, Bessam and Aloulou, Hamdi (ed.) 16th International Conference on Smart Homes and Health Telematics: Designing a Better Future: Urban Assisted Living (ICOST 2018). Singapore 10 - 12 Jul 2018 Cham, Switzerland. https://doi.org/10.1007/978-3-319-94523-1_22
A novel framework for distress detection through an automated speech processing system
Rana, Rajib, Gururajan, Raj, Mackenzie, Geraldine, Dunn, Jeff, Gray, Anthony, Zhou, Xujuan, Barua, Prabal Datta, Epps, Julien and Humphris, Gerald Michael. 2018. "A novel framework for distress detection through an automated speech processing system." 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018). Santiago, Chile 03 - 06 Dec 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/WI.2018.00-29
Determination of factors influencing student engagement using a learning management system in a tertiary setting
Barua, Prabal Datta, Zhou, Xujuan, Gururajan, Raj and Chan, Ka C.. 2018. "Determination of factors influencing student engagement using a learning management system in a tertiary setting." 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018). Santiago, Chile 03 - 06 Dec 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/WI.2018.00-30
A qualitative research to explore practices that are utilised for managing talent development in the higher education environment: a case study in six Australian universities
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2019. "A qualitative research to explore practices that are utilised for managing talent development in the higher education environment: a case study in six Australian universities." Journal of Industry-University Collaboration. 1 (1), pp. 24-37. https://doi.org/10.1108/JIUC-02-2019-003
Automated screening for distress: A perspective for the future
Rana, Rajib, Latif, Siddique, Gururajan, Raj, Gray, Anthony, Mackenzie, Geraldine, Humphris, Gerald and Dunn, Jeff. 2019. "Automated screening for distress: A perspective for the future." European Journal of Cancer Care. 28 (4). https://doi.org/10.1111/ecc.13033
A qualitative research to explore processes that are utilized for managing talent: a case study in a Queensland regional university University
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2018. "A qualitative research to explore processes that are utilized for managing talent: a case study in a Queensland regional university University." Australian Academy of Business and Economics Review. 4 (3), pp. 188-200.
A new nested ensemble technique for automated diagnosis of breast cancer
Abdar, Moloud, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Barua, Prabal D. and Gururajan, Rashmi. 2020. "A new nested ensemble technique for automated diagnosis of breast cancer." Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2018.11.004
Exploring processes that are used for managing knowledge in the higher education environment: a case study in a Queensland regional university
Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj. 2018. "Exploring processes that are used for managing knowledge in the higher education environment: a case study in a Queensland regional university." International Journal of Business and Economic Affairs. 3 (2), pp. 73-90. https://doi.org/10.24088/IJBEA-2018-32004
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
Primarily investigating into the relationship between talent management and knowledge management in business environment
Mohammed, Atheer Abdullah, Gururajan, Raj and Hafeez-Baig, Abdul. 2017. "Primarily investigating into the relationship between talent management and knowledge management in business environment." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3109444
Factors impacting employee engagement on enterprise social media
Sankaran, Prema, Bheeman, Sankaran, Priya, K. Hari, Zhou, Xujuan and Gururajan, Raj. 2017. "Factors impacting employee engagement on enterprise social media." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3115865
A Cross - layer Optimization of Video Transmission Based on Packet Loss Rate in 802.11e Wireless Networks
Zhou, Xujuan, Soar, Jeffrey, Gururajan, Raj, Wu, Zhangguang and Wu, Weimin. 2017. "A Cross - layer Optimization of Video Transmission Based on Packet Loss Rate in 802.11e Wireless Networks." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 United States. https://doi.org/10.1145/3106426.3109445
Coupling topic modelling in opinion mining for social media analysis
Zhou, Xujuan, Tao, Xiaohui, Rahman, Md Mostafijur and Zhang, Ji. 2017. "Coupling topic modelling in opinion mining for social media analysis." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3106459
An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environments
Hafeez-Baig, Abdul and Gururajan, Raj. 2013. "An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environments." Deng, Hepu and Standing, Craig (ed.) 24th Australasian Conference on Information Systems (ACIS 2013). Melbourne, Australia 04 - 06 Dec 2013 Melbourne, Australia.
The determinants for the use of wireless system in traditional Chinese hospital
Su, Ying and Gururajan, Raj. 2009. "The determinants for the use of wireless system in traditional Chinese hospital." Luo, Ql and Tan, Honghua (ed.) WNIS 2009: International Conference on Wireless Networks and Information Systems. Shanghai, China 28 - 29 Dec 2009 United States. https://doi.org/10.1109/WNIS.2009.102
Adoption of mobile devices in the Australian healthcare: a conceptual framework approach
Rani Sood, Vasundhara, Gururajan, Raj, Hafeez-Baig, Abdul and Wickramasinghe, Nilmini. 2017. "Adoption of mobile devices in the Australian healthcare: a conceptual framework approach." Wickramasinghe, Nilmini (ed.) Handbook of research on healthcare administration and management. Hershey, PA, United States. IGI Global. pp. 662-685
Filtering and sophisticated data processing for web information gathering
Li, Yuefeng, Zhong, Ning, Zhou, Xujuan and Wu, Sheng-Tang. 2007. "Filtering and sophisticated data processing for web information gathering." Kryszkiewicz, M. (ed.) 2007 International Conference on Rough Sets and Intelligent Systems Paradigms (RSEISP 2007). Warsaw, Poland 28 - 30 Jun 2007 Berlin, Germany.
Integration of information filtering and data mining process for web information retrieval
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter and Xu, Yue. 2007. "Integration of information filtering and data mining process for web information retrieval." Spink, Amanda, Turpin, Andrew and Wu, Mingfang (ed.) 12th Australasian Document Computing Symposium (ADCS 2007). Melbourne, Australia 10 Dec 2007 Melbourne, Australia.
Towards context-sensitive domain ontology extraction
Lau, Raymond Y. K., Hao, Jin Xing, Tang, Maolin and Zhou, Xujuan. 2007. "Towards context-sensitive domain ontology extraction." 40th Annual Hawaii International Conference on System Sciences (HICSS40). Hawaii, United States 03 - 06 Jan 2007 Los Alamitos, CA. United States. https://doi.org/10.1109/HICSS.2007.570
Two-stage model for information filtering
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond Y. K.. 2008. "Two-stage model for information filtering." 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008). Sydney, Australia 09 - 12 Dec 2008 Sydney, NSW, Australia. https://doi.org/10.1109/WIIAT.2008.390
Pattern taxonomy mining for information filtering
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond Y. K.. 2008. "Pattern taxonomy mining for information filtering." Wobcke, W. and Zhang, M. (ed.) AI 2008: 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence . Auckland, New Zealand 01 - 05 Dec 2008 Berlin, Germany. https://doi.org/10.1007/978-3-540-89378-3_42
Rough sets based reasoning and pattern mining for a two-stage information filtering system
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymaon Y. K.. 2010. "Rough sets based reasoning and pattern mining for a two-stage information filtering system." 19th ACM International Conference on Information and Knowledge Management (CIKM 2010). Toronto, Canada 26 - 30 Oct 2010 New York, NY. United States. https://doi.org/10.1145/1871437.1871639
An experimental analysis of assessor specific bias in a programming assessment in multi-assessor scenarios utilizing an eye tracker
Debnath, Tanmoy, Paul, Manoranjan, Chakraborty, Subrata, Podder, Pallab Kanti, Gururajan, Raj and Hafeez-Baig, Abdul. 2016. "An experimental analysis of assessor specific bias in a programming assessment in multi-assessor scenarios utilizing an eye tracker." Shoniregun, Charles A. and Akmayeva, Galyna A. (ed.) London International Conference on Education (LICE-2016). London, United Kingdom 14 - 17 Nov 2016 London, United Kingdom.
Sequential pattern mining and nonmonotonic reasoning for intelligent information agents
Lau, Raymond Y. K., Li, Yuefeng, Wu, Sheng-Tang and Zhou, Xujuan. 2007. "Sequential pattern mining and nonmonotonic reasoning for intelligent information agents." International Journal of Pattern Recognition and Artificial Intelligence. 21 (4), pp. 773-789. https://doi.org/10.1142/S0218001407005673
Study to investigate factors influencing adoption of mobile devices in the health care environment
Rani Sood, Vasundhara, Hafeez-Baig, Abdul and Gururajan, Raj. 2016. "Study to investigate factors influencing adoption of mobile devices in the health care environment." European Conference on Information Systems (ECIS 2016). Istanbul, Turkey 12 - 15 Jun 2016
Pattern mining for a two-stage information filtering system
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond Y. K.. 2011. "Pattern mining for a two-stage information filtering system." Huang , J.Z., Cao, L. and Srivastava , J. (ed.) 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011). Shenzhen, China 24 - 27 May 2011 Germany. Springer. https://doi.org/10.1007/978-3-642-20841-6_30
Exercise, Diet Counselling, and Management for the Adults with Diabetes Mellitus: An Indian Case Study
Pathy, Dharnini, Gururajan, Raj, Hafeez-Baig, Abdul, Wickramasinghe, Nilmini and Gururajan, Rashmi. 2016. "Exercise, Diet Counselling, and Management for the Adults with Diabetes Mellitus: An Indian Case Study ." Wickramasignhe, Nilmini, Troshani, Indrit and Tan, Joseph (ed.) Contemporary consumer health informatics. Switzerland. Springer. pp. 15-52
Reliability of qualitative data using text analysis: a Queensland Health case study
Gururajan, Raj, Clark, Kevin, Moller, Suan, Sankaran, Prema, Hafeez Baig, Abdul, Wickramasinghe, Nilmini and Gururajan, Rashmi. 2016. "Reliability of qualitative data using text analysis: a Queensland Health case study." Wickramasinghe, Nilmini, Troshani, I. and Tan, J. (ed.) Contemporary Consumer Health Informatics. Switzerland. Springer. pp. 1-13
Reliability of qualitative data using text analysis: a Queensland Health case study
Gururajan, Raj, Hafeez-Baig, Abdul, Clark, Kevin, Moller, Susan and Sankaran, Prema. 2014. "Reliability of qualitative data using text analysis: a Queensland Health case study." 3rd International Conference on Eco-friendly Computing and Communication Systems (ICECCS 2014): Computing and Communication for Sustainable Development. Mangalore, India 18 - 21 Dec 2014 Piscataway, NJ. United States.
Sentiment analysis for depression detection on social networks
Tao, Xiaohui, Zhou, Xujuan, Zhang, Ji and Yong, Jianming. 2016. "Sentiment analysis for depression detection on social networks." Li, Jinyan, Li, Xue, Wang, Xue, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_59
A two-stage information filtering based on rough decision rule and pattern mining
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Xu, Yue and Lau, Raymond. 2010. "A two-stage information filtering based on rough decision rule and pattern mining." Journal of Emerging Technologies in Web Intelligence. 2 (4), pp. 326-332. https://doi.org/10.4304/jetwi.2.4.326-332
Assuring reliability in qualitative studies: a health informatics persective
Hafeez-Baig, Abdul, Gururajan, Raj and Chakraborty, Subrata. 2016. "Assuring reliability in qualitative studies: a health informatics persective." 20th Pacific Asia Conference on Information Systems (PACIS 2016). Chiayi, Taiwan 27 Jun - 01 Jul 2016 Chiayi, Taiwan.
The Paradoxes of Telehealth: a Review of the Literature 2000–2015
Standing, Craig, Standing, Susan, McDermott, Marie-Louise, Gururajan, Raj and Marvi, Reza Kiani. 2018. "The Paradoxes of Telehealth: a Review of the Literature 2000–2015." Systems Research and Behavioral Science. 35 (1), pp. 90-101. https://doi.org/10.1002/sres.2442
Coming to Terms with Knowledge Management in Telehealth
Standing, Craig, Standing, Susan, Gururajan, Raj, Fulford, Richard and Gengatharen, Denise. 2018. "Coming to Terms with Knowledge Management in Telehealth." Systems Research and Behavioral Science. 35 (1), pp. 102-113. https://doi.org/10.1002/sres.2443
Title of PhD project: study to investigate factors influencing adoption of mobile devices in the health care environment
Rani Sood, Vasundhara, Gururajan, Raj and Hafeez Baig, Abdul. 2015. "Title of PhD project: study to investigate factors influencing adoption of mobile devices in the health care environment." 26th Australasian Conference on Information Systems (ACIS 2015). Adelaide, Australia 30 Nov - 04 Dec 2015 Adelaide, South Australia.
Handheld wireless devices and opinions of physicians in healthcare environment: a case of Pakistan
Hafeez-Baig, Abdul and Gururajan, Raj. 2014. "Handheld wireless devices and opinions of physicians in healthcare environment: a case of Pakistan." 25th Australasian Conference on Information Systems (ACIS 2014). Auckland, New Zealand 08 - 10 Dec 2014 Palmerston North, New Zealand.
Software development for managing nutrition intake for Type II Diabetes Mellitus
Krishnan, Dharini, Zhou, Xujuan, Chakraborty, Subrata, Gururajan, Rashmi and Gururajan, Raj. 2016. "Software development for managing nutrition intake for Type II Diabetes Mellitus." 10th International Conference on Software, Knowledge, Information Management and Application (SKIMA 2016). Chengdu, China 15 - 17 Dec 2016 China.
Objective Analysis of Marker Bias in Higher Education
Chakraborty, Subrata, Zhou, Susan, Hafeez-Baig, Abdul, Gururajan, Raj, Paul, Manoranjan, Mandal, Anuradha, Chacko, Anila Elizabeth and Barua, Prabal D.. 2017. "Objective Analysis of Marker Bias in Higher Education." 5th IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2016). Bangkok, Thailand 07 - 09 Dec 2016 Piscataway, United States. https://doi.org/10.1109/TALE.2016.7851839
Financial competing interests were associated with favorable conclusions and greater author productivity in nonsystematic reviews of neuraminidase inhibitors
Dunn, Adam G., Zhou, Xujuan, Hudgins, Joel, Arachi, Diana, Mandl, Kenneth D., Coiera, Enrico and Bourgeois, Florence T.. 2016. "Financial competing interests were associated with favorable conclusions and greater author productivity in nonsystematic reviews of neuraminidase inhibitors." Journal of Clinical Epidemiology. 80, pp. 43-49. https://doi.org/10.1016/j.jclinepi.2016.07.010
The impact of diet counselling on Type 2 Diabetes Mellitus: an Indian case study
Krishnan, Dharini, Gururajan, Raj, Hafeez-Baig, Abdul, Kondalasamy-Chennakesavan, Srinivas, Wickramasinghe, Nilmini and Gururajan, Rashmi. 2015. "The impact of diet counselling on Type 2 Diabetes Mellitus: an Indian case study." Journal of Diabetes and Metabolism. 6 (10). https://doi.org/10.4172/2155-6156.1000610
What factors determine healthcare professionals’ (HCPs) acceptance of mobile devices for telehealth: a qualitative study conducted in Queensland, Australia
Rani Sood, Vasundhara, Gururajan, Raj and Hafeez Baig, Abdul. 2016. "What factors determine healthcare professionals’ (HCPs) acceptance of mobile devices for telehealth: a qualitative study conducted in Queensland, Australia." 2nd National Rural & Remote Telehealth Conference: Rural and Remote Telehealth at Home. Toowoomba, Australia 05 - 06 Oct 2016 Toowoomba, Australia.
What factors determine healthcare professionals’ (HCPs) acceptance of mobile devices for telehealth: a qualitative study conducted in Queensland, Australia
Rani Sood, Vasundhara, Hafeez Baig, Abdul and Gururajan, Raj. 2016. "What factors determine healthcare professionals’ (HCPs) acceptance of mobile devices for telehealth: a qualitative study conducted in Queensland, Australia." 2nd National Rural & Remote Telehealth Conference: Rural and Remote Telehealth at Home. Toowoomba, Australia 05 - 06 Oct 2016 Toowoomba, Australia.
A two-stage text mining model for information filtering
Li, Yuefeng, Zhou, Xujuan, Bruza, Peter, Xu, Yue and Lau, Raymond Y.K.. 2008. "A two-stage text mining model for information filtering." CIKM 2008: ACM 17th Conference on Information and Knowledge Management. Napa Valley, United States 26 - 30 Oct 2008 New York, United States. https://doi.org/10.1145/1458082.1458218
Relevance assessment of topic ontology
Zhou, Xujuan, Li, Yuefeng, Xu, Yue and Lau, Raymond. 2006. "Relevance assessment of topic ontology ." 4th International Conference on Active Media Technology (AMT 2006). Brisbane, Australia 07 - 09 Jun 2006
Using information filtering in web data mining process
Zhou, Xujuan, Li, Yuefeng, Bruza, Peter, Wu, Sheng-Tang, Xu, Yue and Lau, Raymond Y. K.. 2007. "Using information filtering in web data mining process." 2007 IEEE/WIC/ACM International Conference on Web Intelligence. Fremont, United States of America 02 - 05 Nov 2007 United States. https://doi.org/10.1109/WI.2007.24
Utilizing search intent in topic ontology-based user profile for web mining
Zhou, Xujuan, Wu, Sheng-Tang, Li, Yuefeng, Xu, Yue, Lau, Raymond Y.K. and Bruza, Peter D.. 2006. "Utilizing search intent in topic ontology-based user profile for web mining ." IEEE/WIC/ACM International Conferenceon Web Intelligence (WI'06). Hong Kong, China 18 - 22 Dec 2006 United States. https://doi.org/10.1109/WI.2006.186
A two-stage decision model for information filtering
Li, Yuefeng, Zhou, Xujuan, Bruza, Peter, Xu, Yue and Lau, Raymond Y.K.. 2012. "A two-stage decision model for information filtering." Decision Support Systems. 52 (3), pp. 706-716. https://doi.org/10.1016/j.dss.2011.11.005
The state-of-the-art in personalized recommender systems for social networking
Zhou, Xujuan, Xu, Yue, Li, Yuefeng, Audun, Josang and Cox, Clive. 2012. "The state-of-the-art in personalized recommender systems for social networking." Artificial Intelligence Review. 37 (2), pp. 119-132. https://doi.org/10.1007/s10462-011-9222-1
Wireless technology and job performance attributes in a healthcare environment
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Wireless technology and job performance attributes in a healthcare environment." Su, Ying (ed.) 7th International Conference on Cooperation and Promotion of Information Resources in Science and Technology (COINFO 2012): Information Sharing in the Cloud. Nanjing, China 23 - 25 Nov 2012 Irvine, CA. United States.
Citations alone were enough to predict favorable conclusions in reviews of neuraminidase inhibitors
Zhou, Xujuan, Wang, Ying, Tsafnat, Guy, Coiera, Enrico, Bourgeois, Florence T. and Dunn, Adam G.. 2015. "Citations alone were enough to predict favorable conclusions in reviews of neuraminidase inhibitors ." Journal of Clinical Epidemiology. 68 (1), pp. 87-93. https://doi.org/10.1016/j.jclinepi.2014.09.014
Associations between exposure to and expression of negative opinions about Human Papillomavirus vaccines on social media: an observational study
Dunn, Adam G., Leask, Julie, Zhou, Xujuan, Mandl, Kenneth D. and Coiera, Enrico. 2015. "Associations between exposure to and expression of negative opinions about Human Papillomavirus vaccines on social media: an observational study." Journal of Medical Internet Research. 17 (6), pp. 1-10. https://doi.org/10.2196/jmir.4343
Information fusion with subject-based information gathering method for intelligent multi-agent models
Tao, Xiaohui, King, John and Li, Yuefeng. 2005. "Information fusion with subject-based information gathering method for intelligent multi-agent models." 7th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2005). Kuala Lumpur, Malaysia 19 - 21 Sep 2005
Ontology mining for personalized web information gathering
Tao, Xiaohui, Li, Yuefeng, Zhong, Ning and Nayak, Richi. 2007. "Ontology mining for personalized web information gathering." Lin, T. Y. and Haas, Laura (ed.) 2007 IEEE/WIC/ACM International Conference on Web Intelligence. Fremont, United States of America 02 - 05 Nov 2007 Los Alamitos, CA. United States. https://doi.org/10.1109/WI.2007.88
Mining specific and general features in both positive and negative relevance feedback
Li, Yuefeng, Tao, Xiaohui, Algarni, Abdulmohsen and Wu, Sheng-Tang. 2009. "Mining specific and general features in both positive and negative relevance feedback." Voorhees, Ellen M. and Buckland, Lori P. (ed.) TREC 2009: 18th Text REtrieval Conference. Gaithersburg, United States 17 - 20 Nov 2009 Gaithersburg, MD. United States.
Knowledge management in healthcare organizations
Wickramasinghe, Nilmini and Gururajan, Raj. 2016. "Knowledge management in healthcare organizations." Ortendlad, Anders, Abrahamson Lofstrom, Carina and Sheaff, Rod (ed.) Management innovations for healthcare organizations: adopt, abandon or adapt?. New York. Routledge. pp. 195-208
An exploratory qualitative study to identify factors that influence the use of electronic patient journey boards in Queensland health
Gururajan, Raj, Hafeez Baig, Abdul, Sturgess, Julie, Clark, Kevin and Gururajan, Vijaya. 2015. "An exploratory qualitative study to identify factors that influence the use of electronic patient journey boards in Queensland health." Electronic Journal of Health Informatics. 9 (1).
Mobile telehealth technology assessment: Queensland case study
Gururajan, Raj, Little, Alison, Hafeez Baig, Abdul, Chakraborty, Subrata and Wickramasignhe, Nilmini. 2015. "Mobile telehealth technology assessment: Queensland case study." 23rd Australian National Health Informatics Conference (HIC 2015). Brisbane, Australia 03 - 05 Aug 2015 Australia.
Category captain arrangements in grocery retail marketing
Chimhundu, Ranga, Kong, Eric and Gururajan, Raj. 2015. "Category captain arrangements in grocery retail marketing." Asia Pacific Journal of Marketing and Logistics. 27 (3), pp. 368-384. https://doi.org/10.1108/APJML-08-2014-0124
Making the most of virtual expertise in telemedicine and telehealth environments
Standing, Craig, Gururajan, Raj, Standing, Susan and Cripps, Helen. 2014. "Making the most of virtual expertise in telemedicine and telehealth environments." Journal of Organizational Computing and Electronic Commerce. 24 (2-3), pp. 138-156. https://doi.org/10.1080/10919392.2014.896714
Health text analysis: a Queensland Health case study
Gururajan, Raj, Hafeez-Baig, Abdul, Clark, Kevin, Moller, Susan and Sankaran, Prema. 2014. "Health text analysis: a Queensland Health case study." Mathirajan, M. (ed.) 2nd International Conference on Business Analytics and Intelligence (ICBAI 2014). Bangalore, India 18 - 20 Dec 2014 Bangalore, India.
An exploratory case study on employee health and wellbeing: Indian railways case study
Gururajan, Raj, Hafeez-Baig, Abdul, Chennakesav, Srinivas, Thomas, Anil, Prakash, Ram, Krishnan, Dharini and Sankaran, Prema. 2014. "An exploratory case study on employee health and wellbeing: Indian railways case study." Journal of Information Technology & Software Engineering. 4 (1), p. 125. https://doi.org/10.4172/2165-7866.1000125
An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environment
Gururajan, Raj and Hafeez-Baig, Abdul. 2014. "An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environment." BMC Medical Informatics and Decision Making. 14 (98), pp. 1-8. https://doi.org/10.1186/1472-6947-14-98
Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on Twitter
Zhou, Xujuan, Coiera, Enrico, Tsafnat, Guy, Arachi, Diana, Ong, Mei-Sing and Dunn, Adam G.. 2015. "Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on Twitter." Sarkar, Indra Neil, Georgiou, Andrew and Marqes, Paulo Mazzoncini de Azevedo (ed.) 15th World Congress on Medical and Health Informatics (MEDINFO 2015). São Paulo, Brazil 19 - 23 Aug 2015 Netherlands. https://doi.org/10.3233/978-1-61499-564-7-761
A knowledge retrieval model using ontology mining and user profiling
Tao, Xiaohui, Li, Yuefeng and Nayak, Richi. 2008. "A knowledge retrieval model using ontology mining and user profiling." Integrated Computer Aided Engineering. 15 (4), pp. 313-329. https://doi.org/10.3233/ICA-2008-15404
Text mining in microblogs for real time topic and event monitoring
Lau, Cher H., Tjondronegoro, Dian, Li, Yuefeng, Xu, Yue and Tao, Xiaohui. 2010. "Text mining in microblogs for real time topic and event monitoring." Hess, Barry and Christensen, Clayton M. (ed.) SC10 Early Adopters PhD Workshop: Building the Next Generation of Application Scientists (held during the International Conference for High Performance Computing, Networking, Storage, and Analysis 2010). New Orleans, United States 15 Nov 2010 Washington, DC. United States.
Ontology mining for personalized search
Li, Yuefeng and Tao, Xiaohui. 2009. "Ontology mining for personalized search." Cao, Longbing, Yu, Philip S., Zhang, Chengqi and Zhang, Huaifeng (ed.) Data mining for business applications. New York, NY. United States. Springer. pp. 63-78
Otsu's threshold selection method applied in de-noising heart sound of the digital stethoscope record
Chen, Haoyu and Gururajan, Raj. 2012. "Otsu's threshold selection method applied in de-noising heart sound of the digital stethoscope record." Zeng, Dehuai (ed.) 2nd International Conference of Electrical and Electronics Engineering (ICEEE 2011). Macau, China 01 - 02 Dec 2011 Berlin, Germany. https://doi.org/10.1007/978-3-642-26001-8_31
Effective pattern taxonomy mining in text documents
Li, Yuefeng, Wu, Sheng-Tang and Tao, Xiaohui. 2008. "Effective pattern taxonomy mining in text documents." Shanahan, James G., Amer-Yahia, Sihem, Zhang, Yi and Kolcz, Alek (ed.) CIKM 2008: ACM 17th Conference on Information and Knowledge Management. Napa Valley, United States 26 - 30 Oct 2008 New York, NY. USA. https://doi.org/10.1145/1458082.1458360
An ontology-based framework for knowledge retrieval
Tao, Xiaohui, Li, Yuefeng, Zhong, Ning and Nayak, Richi. 2008. "An ontology-based framework for knowledge retrieval." Jain, Lakhmi, Lingras, Pawan, Klusch, Matthias and Lu, Jie (ed.) 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008). Sydney, Australia 09 - 12 Dec 2008 Los Alamitos, CA. USA. https://doi.org/10.1109/WIIAT.2008.226
Critical role of 'T-shaped skills & incentive rewards' as determinants for knowledge management enablers: a case of Indian study
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Critical role of 'T-shaped skills & incentive rewards' as determinants for knowledge management enablers: a case of Indian study." Kalloniatis, Christos (ed.) Modern information systems. Rijeka, Croatia. InTech Europe. pp. 133-146
An exploratory study to identify factors that influence the use of electronic patient boards in Queensland Health
Gururajan, Raj, Hafeez-Baig, Abdul, Sturgess, Julie, Clark, Kevin, Gururajan, Vijaya and Moller, Susan. 2013. "An exploratory study to identify factors that influence the use of electronic patient boards in Queensland Health." International Journal of Management & Information Technology. 7 (2), pp. 1033-1041.
Mapping semantic knowledge for unsupervised text categorisation
Tao, Xiaohui, Li, Yuefeng, Zhang, Ji and Yong, Jianming. 2013. "Mapping semantic knowledge for unsupervised text categorisation." Wang, Hua and Rui, Zhang (ed.) 24th Australasian Database Conference (ADC 2013). Adelaide, Australia 29 Jan - 01 Feb 2013 Sydney, Australia.
Sentiment Analysis on Tweets for Social Events
Zhou, Xujuan, Tao, Xiaohui, Yong, Jianming and Yang, Zhenyu. 2013. "Sentiment Analysis on Tweets for Social Events." Shen, Weiming, Li, Weidong, Barthes, Jean-Paul, Luo, Junzhou, Zhu, Haibin, Yong, Jianming and Li, Xiaoping (ed.) IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013). Whistler, Canada 27 - 29 Jun 2013 United States. https://doi.org/10.1109/CSCWD.2013.6581022
Enablers of implementing knowledge management systems for better organisational outcomes: an Indian study
Gururajan, Raj and Tsai, Heng-Sheng. 2013. "Enablers of implementing knowledge management systems for better organisational outcomes: an Indian study." Bali, Rajeev K., Troshani, Indrit, Goldberg, Steve and Wickramasinghe, Nilmini (ed.) Pervasive health knowledge management. New York, NY. United States. Springer. pp. 285-303
Expectations, usability, and job satisfaction as determinants for the perceived benefits for the use of wireless technology in healthcare
Hafeez-Baig, Abdul and Gururajan, Raj. 2013. "Expectations, usability, and job satisfaction as determinants for the perceived benefits for the use of wireless technology in healthcare." Bali, Rajeev K., Troshani, Indrit, Goldberg, Steve and Wickramasinghe, Nilmini (ed.) Pervasive health knowledge management. New York, NY. United States. Springer. pp. 305-316
Wireless technology and clinical influences in healthcare setting: an Indian case study
Hafeez-Baig, Abdul and Gururajan, Raj. 2011. "Wireless technology and clinical influences in healthcare setting: an Indian case study." Guah, Matthew (ed.) Healthcare delivery reform and new technologies: organizational initiatives. Hershey, PA. United States. IGI Global. pp. 55-74
Acoustical design of digital stethoscope for improved performance
Thiagarajan, Raj C., Sankaran, Prema, Hafeez-Baig, Abdul, Elangovan, Kodeeswari and Gururajan, Raj. 2012. "Acoustical design of digital stethoscope for improved performance." Singh, Lakhvinder (ed.) COMSOL Conference India 2012. Bangalore, India 02 - 03 Nov 2012 Burlington, MA. United States.
Does information and communication technology (ICT) facilitate knowledge management activities in the 21st century?
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Does information and communication technology (ICT) facilitate knowledge management activities in the 21st century?" Journal of Software. 7 (11), pp. 2437-2442. https://doi.org/10.4304/jsw.7.11.2437-2442
Role of wireless handheld technology by nurses in healthcare environment
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Role of wireless handheld technology by nurses in healthcare environment." Computer Technology and Application. 3 (8), pp. 550-557.
Phenomena of adoption of wireless handheld devices: a case of healthcare setting
Hafeez-Baig, Abdul and Gururajan, Raj. 2013. "Phenomena of adoption of wireless handheld devices: a case of healthcare setting." Muga, Helen E. and Thomas, Ken D. (ed.) Cases on the diffusion and adoption of sustainable development practices. Hershey, PA. United States. IGI Global. pp. 20-43
Principles and pressures in managing student attitudes to innovative mobile learning: a view from an Australian distance-education-intensive university
Hafeez-Baig, Abdul, Gururajan, Raj, Danaher, P. A. and De George-Walker, Linda. 2013. "Principles and pressures in managing student attitudes to innovative mobile learning: a view from an Australian distance-education-intensive university." International Journal of Management in Education. 7 (1/2), pp. 149-162. https://doi.org/10.1504/IJMIE.2013.050818
Semantic labelling for document feature patterns using ontological subjects
Tao, Xiaohui, Li, Yuefeng, Liu, Bin and Shen, Yan. 2012. "Semantic labelling for document feature patterns using ontological subjects." Zhong, Ning and Gong, Zhiguo (ed.) 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2012). Macau, China 04 - 07 Dec 2012 Los Alamitos, CA. United States. https://doi.org/10.1109/WI-IAT.2012.47
Unsupervised multi-label text classification using a world knowledge ontology
Tao, Xiaohui, Li, Yuefeng, Lau, Raymond Y. K. and Wang, Hua. 2012. "Unsupervised multi-label text classification using a world knowledge ontology." Tan, Pang-Ning, Chawla, Sanjay, Ho, Chin Kuan and Bailey, James (ed.) 16th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2012). Kuala Lumpur, Malaysia 29 May - 01 Jun 2012 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-30217-6_40
Feeding back and enhancing authentic learning in quality course assessment design: locating information systems education in rigorous educational research
Hafeez-Baig, Abdul, Gururajan, Raj, Jones, David and Danaher, P. A.. 2012. "Feeding back and enhancing authentic learning in quality course assessment design: locating information systems education in rigorous educational research." Lamp, John (ed.) 23rd Australasian Conference on Information Systems (ACIS 2012). Geelong, Australia 03 - 05 Dec 2012 Geelong, Australia.
Matching relevance features with ontological concepts
Shen, Yan, Li, Yuefeng, Xu, Yue and Tao, Xiaohui. 2012. "Matching relevance features with ontological concepts." 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WPRS 2012). Macau, China 04 - 07 Dec 2012 Los Alamitos, CA. United States. https://doi.org/10.1109/WI-IAT.2012.194
Retrieving information from microblog using pattern mining and relevance feedback
Lau, Cher Han, Tao, Xiaohui, Tjondronegoro, Dian and Li, Yuefeng. 2012. "Retrieving information from microblog using pattern mining and relevance feedback." Xiang, Yang, Pathan, Mukaddim, Tao, Xiaohui and Wan g, Hua (ed.) 3rd International Conference on Data and Knowledge Engineering (ICDKE 2012). Fujian, China 21 - 23 Nov 2012 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-34679-8_15
Personalised information gathering and recommender systems: techniques and trends
Tao, Xiaohui, Zhou, Xujuan, Lau, Cher Han and Li, Yuefeng. 2013. "Personalised information gathering and recommender systems: techniques and trends." EAI Endorsed Transactions on Scalable Information Systems. 13 (1-3), pp. 1-17. https://doi.org/10.4108/trans.sis.2013.01-03.e4
Deploying mobile data services: an Australian case study
Tsai, Heng-Sheng, Gururajan, Raj, Kong, Eric, Hafeez-Baig, Abdul and Lin, Meng Kuan. 2012. "Deploying mobile data services: an Australian case study." IT Professional: technology solutions for the enterprise. 14 (5), pp. 22-27. https://doi.org/10.1109/MITP.2012.47
An exploratory study to investigate the effectiveness of PDAs in healthcare: a case of Queensland nurses
Hafeez-Baig, Abdul and Gururajan, Raj. 2011. "An exploratory study to investigate the effectiveness of PDAs in healthcare: a case of Queensland nurses." 22nd Australasian Conference on Information Systems (ACIS 2011). Sydney, Australia 29 Nov - 02 Dec 2011 Atlanta, GA. United States.
Student perceptions and uses of wireless handheld devices: implications for implementing blended and mobile learning in an Australian university
Gururajan, Raj, Hafeez-Baig, Abdul, Danaher, P. A. and De George-Walker, Linda. 2011. "Student perceptions and uses of wireless handheld devices: implications for implementing blended and mobile learning in an Australian university." Kitchenham, Andrew (ed.) Models for interdisciplinary mobile learning: delivering information to students. Hershey, PA. United States. IGI Global. pp. 231-246
An ontology-based mining approach for user search intent discovery
Shen, Yan, Li, Yuefeng, Xu, Yue, Iannella, Renato, Algarni, Abdulmohsen and Tao, Xiaohui. 2011. "An ontology-based mining approach for user search intent discovery." Cunningham, Sally Jo, Scholer, Falk and Thomas, Paul (ed.) 16th Australasian Document Computing Symposium (ADCS 2011). Canberra, Australia 02 Dec 2011 Melbourne, Australia.
Pakistani study on the determinants of wireless technology in healthcare
Hafeez-Baig, Abdul and Gururajan, Raj. 2012. "Pakistani study on the determinants of wireless technology in healthcare." Computer Technology and Application. 3 (2), pp. 194-200.
Making the most of virtual expertise in telemedicine and telehealth environments
Standing, Craig, Volpe, Izabela, Standing, Susan and Gururajan, Raj. 2011. "Making the most of virtual expertise in telemedicine and telehealth environments." Chen, Jinjun, Dou, Wanchun, Liu, Jianxun, Yang, Laurence T. and Ma, Jianhua (ed.) IEEE 9th International Conference on Dependable, Autonomic and Secure Computing (DASC 2011). Sydney, Australia 12 - 14 Dec 2011 Los Alamitos, CA. USA. https://doi.org/10.1109/DASC.2011.166
Challenges and opportunities for academics adopting an online peer review innovation
Hafeez-Baig, Abdul, De George-Walker, Linda, Gururajan, Raj and Danaher, P. A.. 2011. "Challenges and opportunities for academics adopting an online peer review innovation." Studies in Learning Evaluation Innovation and Development. 8 (1), pp. 26-37.
A confirmatory factor analysis on the views and constructs for knowledge management in India
Gururajan, Raj, Hafeez-Baig, Abdul and Tsai, Heng-Sheng. 2012. "A confirmatory factor analysis on the views and constructs for knowledge management in India." Computer Technology and Application. 3 (1), pp. 98-104.
A personalized ontology model for web information gathering
Tao, Xiaohui, Li, Yuefeng and Zhong, Ning. 2011. "A personalized ontology model for web information gathering." IEEE Transactions on Knowledge and Data Engineering. 23 (4), pp. 496-511. https://doi.org/10.1109/TKDE.2010.145
Development of a prototype multi-touch ECG diagnostic decision support system using mobile technology for monitoring cardiac patients at a distance
Lin, Meng Kuan, Mula, Joseph M., Gururajan, Raj and Leis, John W.. 2011. "Development of a prototype multi-touch ECG diagnostic decision support system using mobile technology for monitoring cardiac patients at a distance." Seddon, Peter and Gregor, Shirley (ed.) 15th Pacific Asia Conference on Information Systems (PACIS 2011): Quality Research in Pacific Asia. Brisbane, Australia 07 - 11 Jul 2011 Atlanta, GA. United States.
Using digital stethoscopes in remote patient assessment via wireless networks: the user’s perspective
Gururajan, Raj, Tsai, Heng-Sheng and Chen, Haoyu. 2011. "Using digital stethoscopes in remote patient assessment via wireless networks: the user’s perspective." International Journal of Advanced Networking and Applications. 3 (3), pp. 1140-1146.
Preliminary study to investigation the determinants that effect IS/IT outsourcing
Hafeez-Baig, Abdul and Gururajan, Raj. 2011. "Preliminary study to investigation the determinants that effect IS/IT outsourcing." International Journal of Information and Communication Technology Research. 1 (2), pp. 48-54.
Mining world knowledge for analysis of search engine content
King, John D., Li, Yuefeng, Tao, Xiaohui and Nayak, Richi. 2007. "Mining world knowledge for analysis of search engine content." Web Intelligence. 5 (3), pp. 233-253.
Automatically acquiring training sets for web information gathering
Tao, Xiaohui, Li, Yuefeng, Zhong, Ning and Nayak, Richi. 2006. "Automatically acquiring training sets for web information gathering." Liu, Jiming and Wah, Benjamin W. (ed.) 2006 IEEE/WIC/ACM International Conference on Web Intelligence. Hong Kong, China 18 - 22 Dec 2006 Piscataway, NJ. United States. https://doi.org/10.1109/WI.2006.49
Ontology mining for semantic interpretation of user information needs
Tao, Xiaohui, Li, Yuefeng and Nayak, Richi. 2007. "Ontology mining for semantic interpretation of user information needs." Zhang, Zili and Siekmann, Jorg (ed.) 2nd International Conference on Knowledge Science, Engineering, and Management (KSEM 2007). Melbourne, Australia 28 - 30 Nov 2007 Germany. Springer. https://doi.org/10.1007/978-3-540-76719-0_32
A User Profiles Acquiring Approach Using Pseudo-Relevance Feedback
Tao, Xiaohui and Li, Yuefeng. 2009. "A User Profiles Acquiring Approach Using Pseudo-Relevance Feedback." Wen, Peng, Li, Yuefeng, Polkowski, Lech and Yao, Yiyu (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_83
Concept-Based, Personalized Web Information Gathering: A Survey
Tao, Xiaohui and Li, Yuefeng. 2009. "Concept-Based, Personalized Web Information Gathering: A Survey." 3rd International Conference on Knowledge Science, Engineering, and Management (KSEM 2009). Vienna, Austria 25 - 27 Nov 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-10488-6_23
Clinicians' perception of using digital stethoscopes in telehealth platform: Queensland telehealth preliminary study
Soroush, Layla, Hafeez-Baig, Abdul and Gururajan, Raj. 2010. "Clinicians' perception of using digital stethoscopes in telehealth platform: Queensland telehealth preliminary study." Rosemann, Michael (ed.) 21st Australasian Conference on Information Systems (ACIS 2010). Brisbane, Australia 01 - 03 Dec 2010 Brisbane, Australia.
The determinants for adoption of wearable computer systems in traditional Chinese hospital
Su, Ying and Gururajan, Raj. 2010. "The determinants for adoption of wearable computer systems in traditional Chinese hospital." Luo, Qi (ed.) APWCS 2010: Wearable Systems for Tomorrow's Industry. Shenzhen, China 17 - 18 Apr 2010 Los Alamitos, CA. USA.
Wireless applications: influences and risks of location identification technologies
Gururajan, Raj. 2001. "Wireless applications: influences and risks of location identification technologies." 12th Australasian Conference on Information Systems (ACIS 2001). Coffs Harbour, Australia 04 - 07 Dec 2001
Time management, improved patient expectations and added value contributing to the perceived acceptance of using wireless hand held devices in the Indian healthcare
Hafeez-Baig, Abdul and Gururajan, Raj. 2008. "Time management, improved patient expectations and added value contributing to the perceived acceptance of using wireless hand held devices in the Indian healthcare." Mills, Annette and Huff, Sid (ed.) 19th Australasian Conference on Information Systems (ACIS 2008). Christchurch, New Zealand 03 - 05 Dec 2008 Christchurch, New Zealand.
Drivers for wireless technology acceptance in Indian healthcare
Gururajan, Raj. 2009. "Drivers for wireless technology acceptance in Indian healthcare." International Journal of Healthcare Delivery Reform Initiatives. 1 (1), pp. 48-62.
Clinical factors and technological barriers as determinants for the intention to use wireless handheld technology in healthcare environment: an Indian case study
Gururajan, Raj, Gururajan, Vijaya and Hafeez-Baig, Abdul. 2008. "Clinical factors and technological barriers as determinants for the intention to use wireless handheld technology in healthcare environment: an Indian case study." Willie, Golden, Thomas, Acton and Kieran, Conboy (ed.) 16th European Conference on Information Systems: Information Systems in an Innovative Knowledge-based Society (ECIS 2008). Galway, Ireland 09 - 11 Jun 2008 Galway, Ireland.
Reactions and perceptions of healthcare professional towards wireless devices in healthcare environment in the developing world: a case of Pakistan
Gururajan, Raj, Hafeez-Baig, Abdul and Kerr, Don. 2007. "Reactions and perceptions of healthcare professional towards wireless devices in healthcare environment in the developing world: a case of Pakistan." Toleman, Mark, Cater-Steel, Aileen and Roberts, Dave (ed.) 18th Australasian Conference on Information Systems (ACIS 2007). Toowoomba, Australia 05 - 07 Dec 2007 Toowoomba, Australia.
Clinical usefulness is the key common determinant of adoption of wireless technology in healthcare for India and Australia
Grist, Shelly, Hafeez-Baig, Abdul, Gururajan, Raj and Khan, Shamim. 2007. "Clinical usefulness is the key common determinant of adoption of wireless technology in healthcare for India and Australia." Archer, Norm, Hassanein, Khaled and Yuan, Yufei (ed.) 6th International Conference on the Management of Mobile Business (ICMB 2007). Toronto, Canada 09 - 11 Jul 2007 Washington, United States.
A study of the use of hand-held devices in an emergency department
Gururajan, Raj. 2004. "A study of the use of hand-held devices in an emergency department." Journal of Telemedicine and Telecare. 10 (1 (Supplement)), pp. 33-35. https://doi.org/10.1258/1357633042614438
New financial transaction security concerns in mobile commerce
Gururajan, Raj. 2002. "New financial transaction security concerns in mobile commerce." Information & Security: an International Journal. 8 (1), pp. 71-86.
Determining whether ICT improves social interactions
Gururajan, Raj. 2005. "Determining whether ICT improves social interactions." Marshall, Stewart, Taylor, Wal and Yu, Xinghuo (ed.) Encyclopedia of developing regional communities with information and communication technology. Hershey, PA, United States. IGI Global. pp. 159-163
A qualitative evaluation of the effectiveness of videoconferencing to support the training of orthopaedic registrars
Scott, Annette, Gururajan, Raj, Moloney, Clint and Gururajan, Vijaya. 2006. "A qualitative evaluation of the effectiveness of videoconferencing to support the training of orthopaedic registrars." Journal of Telemedicine and Telecare. 12 (3 (Supplement)), pp. 69-70. https://doi.org/10.1258/135763306779379969
A framework for the adoption of wireless technology in healthcare: an Indian study
Howard, Angela, Hafeez-Baig, Abdul, Howard, Srecko and Gururajan, Raj. 2006. "A framework for the adoption of wireless technology in healthcare: an Indian study." Spencer, S. and Jenkins, A. (ed.) 17th Australasian Conference on Information Systems (ACIS 2006). Adelaide, Australia 06 - 08 Dec 2006 Australia.
‘Soft’ enablers of knowledge management in Malaysian companies – a qualitative study
Gan, Gerald Goh Guan, Ryan, Charmaine and Gururajan, Raj. 2006. "‘Soft’ enablers of knowledge management in Malaysian companies – a qualitative study." Spencer, S. and Jenkins, A. (ed.) 17th Australasian Conference on Information Systems (ACIS 2006). Adelaide, Australia 06 - 08 Dec 2006 Australia.
Legal issues and risks impacting wireless workforce
Hafeez-Baig, Abdul and Gururajan, Raj. 2005. "Legal issues and risks impacting wireless workforce." Li, Eldon (ed.) APDSI 2005. Taipei, Taiwan 28 Jun - 02 Jul 2005 Taiwan.
An exploratory study to determine factors impacting outsourcing of information systems in healthcare
Hafeez-Baig, Abdul and Gururajan, Raj. 2005. "An exploratory study to determine factors impacting outsourcing of information systems in healthcare." Eldon, Li (ed.) APDSI 2005. Taipei, Taiwan 28 Jun - 02 Jul 2005 Taiwan.
Clinicians perceptions towards wireless handheld devices: an Australian case study
Hafeez-Baig, Abdul and Gururajan, Raj. 2011. "Clinicians perceptions towards wireless handheld devices: an Australian case study." Su, Ying and Al-Hakim, Latif (ed.) COINFO 2011: 6th International Conference on Cooperation and Promotion of Information Resources in Science and Technology: Coordinative Innovation and Open Sharing. Hangzhou, China 12 - 14 Nov 2011 Irvine, CA, United States.
Views and constructs for knowledge management in India: a confirmatory factor analysis
Hafeez-Baig, Abdul, Gururajan, Raj and Tsai, Heng-Sheng. 2010. "Views and constructs for knowledge management in India: a confirmatory factor analysis." Chen, Houn-Gee and Liang, Ting-Peng (ed.) 14th Pacific Asia Conference on Information Systems (PACIS 2010): Service Science in Information Systems Research. Taipei, Taiwan 09 - 12 Jul 2010 Kaohsiung, Taiwan.
Knowledge sharing and management for better organisational outcomes: an Indian study
Gururajan, Raj, Tsai, Heng-Sheng, Hafeez-Baig, Abdul and Lin, Meng-Kuan. 2010. "Knowledge sharing and management for better organisational outcomes: an Indian study." Chen, Hong-Mei and Lin, Fu-ren (ed.) 14th Pacific Asia Conference on Information Systems (PACIS 2010): Service Science in Information Systems Research. Taipei, Taiwan 09 - 12 Jul 2010 Kaohsiung, Taiwan.
Connecting users and items with weighted tags for personalized item recommendations
Liang, Huizhi, Xu, Yue, Li, Yuefeng, Nayak, Richi and Tao, Xiaohui. 2010. "Connecting users and items with weighted tags for personalized item recommendations." Chignell, Mark and Toms, Elaine (ed.) HT 2010: 21st ACM Conference on Hypertext and Hypermedia. Toronto, Canada 13 - 16 Jun 2010 New York, USA. https://doi.org/10.1145/1810617.1810628
Ontology-based specific and exhaustive user profiles for constraint information fusion for multi-agents
Tao, Xiaohui, Li, Yuefeng, Lau, Raymond Y. K. and Geva, Shlomo. 2010. "Ontology-based specific and exhaustive user profiles for constraint information fusion for multi-agents." Huang, Xiangji Jimmy, King, Irwin, Raghavan, Vijay and Rueger, Stefan (ed.) 2010 IEEE/WIC/ACM International Conference on Web Intelligence. Toronto, Canada 31 Aug - 03 Sep 2010 Los Alamitos, CA. United States. https://doi.org/10.1109/WI-IAT.2010.76
Mining specific and general features in both positive and negative relevance feedback
Algarni, Abdulmohsen, Li, Yuefeng and Tao, Xiaohui. 2010. "Mining specific and general features in both positive and negative relevance feedback." Voorhees, E. M. and Buckland, Lori P. (ed.) TREC 2010: 19th Text REtrieval Conference: Relevance Feedback Track. Gaithersburg, United States 16 - 19 Nov 2010 Gaithersburg, MD, USA.
A knowledge-based model using ontologies for personalized web information gathering
Tao, Xiaohui, Li, Yuefeng and Zhong, Ning. 2010. "A knowledge-based model using ontologies for personalized web information gathering." Web Intelligence. 8 (3), pp. 235-254. https://doi.org/10.3233/WIA-2010-0189
Exploratory study to explore the role of ICT in the process of knowledge management in an Indian business environment
Hafeez-Baig, Abdul, Gururajan, Raj, Heng Sheng, Tasi and Sankaran, Prema. 2010. "Exploratory study to explore the role of ICT in the process of knowledge management in an Indian business environment." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Los Alamitos, CA. United States. https://doi.org/10.1109/NSS.2010.89
The enablers and implementation model for mobile KMS in Australian healthcare
Tsai, Heng-Sheng and Gururajan, Raj. 2010. "The enablers and implementation model for mobile KMS in Australian healthcare." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Piscataway, NJ. United States. https://doi.org/10.1109/NSS.2010.22
An Exploratory Study to Understand the Drivers and Inhibitors for the Successful Adoption of Wireless Technology in Australian Healthcare Systems
Hafeez-Baig, Abdul and Gururajan, Raj. 2010. "An Exploratory Study to Understand the Drivers and Inhibitors for the Successful Adoption of Wireless Technology in Australian Healthcare Systems." Pease, Wayne, Cooper, Malcolm and Gururajan, Raj (ed.) Biomedical Knowledge Management: Infrastructures and Processes for E-Health Systems. Hershey, PA, USA. Medical Information Science Reference (IGI Global). pp. 267-278
A web-based ECG decision support system using multi-touch function to support cardiac diagnosis
Lin, Meng-Kuan, Gururajan, Raj, Mula, Joseph M., Leis, John W. and Hafeez-Baig, Abdul. 2010. "A web-based ECG decision support system using multi-touch function to support cardiac diagnosis." 5th International Conference on Cooperation and Promotion of Information Resources in Science and Technology: Information Sharing in U-Era (COINFO'10). Beijing, China 27 - 29 Nov 2010
Wireless handheld device and LAN security issues: a case study
Gururajan, Raj and Hafeez-Baig, Abdul. 2011. "Wireless handheld device and LAN security issues: a case study." Kerr, Don, Gammack, John G. and Bryant, Kay (ed.) Digital business security development: management technologies. Hershey, PA, USA. IGI Global. pp. 129-151
A purpose based access control in XML databases system
Sun, Lili, Wang, Hua, Jururajin, Raj and Sriprakash, Sri. 2010. "A purpose based access control in XML databases system." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Los Alamitos, CA. USA. https://doi.org/10.1109/NSS.2010.28
Key common determinants for adoption of wireless technology in healthcare for India and Pakistan: development of a conceptual model
Hafeez-Baig, Abdul and Gururajan, Raj. 2010. "Key common determinants for adoption of wireless technology in healthcare for India and Pakistan: development of a conceptual model." Safran, Charles, Marin, Heimer F. and Reti, Shane R. (ed.) 13th World Congress on Medical and Health Informatics (MEDINFO 2010). Cape Town, South Africa 12 - 15 Sep 2010 Amsterdam, Netherlands. https://doi.org/10.3233/978-1-60750-588-4-342
Experiences and perceptions of learner engagement in blended learning environments: the case of an Australian university
De George-Walker, Linda, Hafeez-Baig, Abdul, Gururajan, Raj and Danaher, Patrick Alan. 2010. "Experiences and perceptions of learner engagement in blended learning environments: the case of an Australian university." Inoue, Yukiko (ed.) Cases on online blended learning technologies in higher education: concepts and practices. Hershey, PA, USA. IGI Global. pp. 23-43
Selected influences on students' uses of wireless handheld devices: an Iranian exploratory case study
Hafeez-Baig, Abdul, Gururajan, Raj, Nazemi, Shamsodin, De George-Walker, Linda and Danaher, P. A.. 2010. "Selected influences on students' uses of wireless handheld devices: an Iranian exploratory case study." Abas, Zoraini Wati, Jung, Insung and Luca, Joseph (ed.) Global Learn Asia Pacific 2010. Penang, Malaysia 17 - 20 May 2010 Chesapeake, VA, United States.
A discussion on the role of knowledge management in aged care
Gururajan, Vijaya, Gururajan, Raj and Hafeez-Baig, Abdul. 2004. "A discussion on the role of knowledge management in aged care." Conrick, Moya and Soar, Jeffrey (ed.) 1st Australian Aged and Community Care Informatics Conference (ACCIC'04). Brisbane, Australia 24 - 25 Aug 2004 Brunswick East, Australia.
A case study approach to investigate academic perspective on knowledge and knowledge transfer issues
Gururajan, Vijaya and Gardiner, Michael. 2004. "A case study approach to investigate academic perspective on knowledge and knowledge transfer issues." 1st International Conference on Qualitative Research in IT & IT in Qualitative Research (QualIT 2004). Queensland, Australia 24 - 26 Nov 2004 Australia.
Acceptance problems of ambient intelligence and mobile technologies in hospitals in India and Germany
Kummer, Tyge-F., Bick, Markus and Gururajan, Raj. 2009. "Acceptance problems of ambient intelligence and mobile technologies in hospitals in India and Germany." 17th European Conference on Information Systems (ECIS 2009). Verona, Italy 08 - 10 Jun 2009 Padova, Italy.
Efficacy and feasibility of a mobile ECG decision support system - a preliminary conceptual model
Lin, Meng-Kuan, Mula, Joseph M., Gururajan, Raj, Leis, John W. and Hafeez-Baig, Abdul. 2010. "Efficacy and feasibility of a mobile ECG decision support system - a preliminary conceptual model." Chen, Houn-Gee and Liang, Ting-Peng (ed.) 14th Pacific Asia Conference on Information Systems (PACIS 2010): Service Science in Information Systems Research. Taipei, Taiwan 09 - 12 Jul 2010 Kaohsiung, Taiwan.
Organizational, technical and perceived readiness as adoption factors for wireless technology in healthcare: an Australian case study
Hafeez-Baig, Abdul and Gururajan, Raj. 2009. "Organizational, technical and perceived readiness as adoption factors for wireless technology in healthcare: an Australian case study." Sintchenko, Vitali and Croll, Peter (ed.) Health Informatics Conference (HIC 2009): Frontiers of Health Informatics - Redefining Healthcare. Canberra, Australia 19 - 21 Aug 2009 Melbourne, Australia.
The practical issues in using existing digital stethoscopes for telehealth
Gurney, Tiana, Stenhouse, Shayne, Gururajan, Raj and Hafeez-Baig, Abdul. 2009. "The practical issues in using existing digital stethoscopes for telehealth." Annual International Conference on Successes and Failures in Telehealth 2009 (SFT-09). Brisbane, Australia 10 - 11 Dec 2009 Brisbane, Australia.
Confirmatory factor analysis to establish determinants of wireless technology in the Indian healthcare
Gururajan, Raj, Gurney, Tiana and Hafeez-Baig, Abdul. 2009. "Confirmatory factor analysis to establish determinants of wireless technology in the Indian healthcare." International Journal of Healthcare Delivery Reform Initiatives. 1 (3), pp. 19-37.
Development of knowledge management support for the sleep disorder diagnosis process
Blake, Jacqueline, Kerr, Don and Gururajan, Raj. 2010. "Development of knowledge management support for the sleep disorder diagnosis process." 21st Australasian Conference on Information Systems (ACIS 2010). Brisbane, Australia 01 - 03 Dec 2010 Brisbane, Australia.
Emergence for the need of new legal and regulatory issues on mobile workforce
Gururajan, Raj. 2004. "Emergence for the need of new legal and regulatory issues on mobile workforce." International Journal of Applied Management and Technology. 2 (1), pp. 71-87.
Impact of copyright laws on flexible delivery of university education
Vuori, Timo and Gururajan, Raj. 2002. "Impact of copyright laws on flexible delivery of university education." 2002 International Conference on Information Technology and Universities in Asia (ITUA 2002). Thailand 03 - 05 Apr 2002
Experiences in wireless application development in a healthcare setting
Gururajan, Raj and Vuori, Timo. 2003. "Experiences in wireless application development in a healthcare setting." Knight, S., Croft, L. and Lachowicz, E. (ed.) 4th International We-B Conference 2003: Working With e-Business. Perth, Australia 24 - 25 Nov 2003 Joondalup, Western Australia.
Barriers to uptake of wireless healthcare applications - a review
Gururajan, Raj, Last, J. and Rai, S.. 2003. "Barriers to uptake of wireless healthcare applications - a review." 3rd International Conference on Electronic Business: Business Paradigms: Strategic Transformation and Partnership (ICEB 2003) . Singapore 09 - 13 Dec 2003 Singapore.
Legal and regulatory issues of implementation of electronic signatures
Gururajan, Raj and Hafeez-Baig, Abdul. 2004. "Legal and regulatory issues of implementation of electronic signatures." 2004 AusCERT: Computer Security: Are we there yet?. Gold Coast, Australia 23 - 27 May 2004 Brisbane, Australia.
Implementation difficulties of electronic signatures in the m-commerce environment
Gururajan, Raj and Hafeez-Baig, Abdul. 2004. "Implementation difficulties of electronic signatures in the m-commerce environment." 3rd International Conference on Information and Management Sciences (IMS2004). Dunhuang, China 05 - 10 Jun 2004 Beijing, China.
Emergence of new legal and regulatory mechanisms for the internet workforce
Gururajan, Raj. 2004. "Emergence of new legal and regulatory mechanisms for the internet workforce." Internet Business Review . 1, pp. 1-15.
A discussion on the legal barriers in addressing sleeping disorders in aged care using wireless technology
Moloney, Clint and Gururajan, Raj. 2004. "A discussion on the legal barriers in addressing sleeping disorders in aged care using wireless technology." Conrick, Moya and Soar, Jeffrey (ed.) 1st Australian Aged and Community Care Informatics Conference (ACCIC'04). Brisbane, Australia 24 - 25 Aug 2004 Brunswick East, Australia.
Lessons learned in developing a wireless system for a healthcare industry
Gururajan, Raj and Vuori, Timo. 2003. "Lessons learned in developing a wireless system for a healthcare industry." 2003 ITS Asia-Australasia Regional Conference. Perth, Australia 22 - 24 Jun 2003
Study to investigate the determinants for the use of wireless technology in healthcare setting: a case of Pakistan
Hafeez-Baig, Abdul, Gururajan, Raj, Mula, Joseph M. and Lin, Meng-Kuan. 2009. "Study to investigate the determinants for the use of wireless technology in healthcare setting: a case of Pakistan." Peng, Jie, Al-Hakim, Latif and Chen, Guoqing (ed.) COINFO 2009: Managing Virtual Organisations and Information in the Era of Globalisation. Beijing, China 21 - 23 Nov 2009 Los Alamitos, CA. United States. https://doi.org/10.1109/COINFO.2009.52
Emerging issues in enterprise mobility management
Gururajan, Raj and Vuori, Timo. 2003. "Emerging issues in enterprise mobility management." 2003 ITS Asia-Australasia Regional Conference. Perth, Australia 22 - 24 Jun 2003 Calgary, Alberta, Canada .
Mobile healthcare applications: global developments to facilitate secure wireless applications
Vuori, Timo and Gururajan, Raj. 2003. "Mobile healthcare applications: global developments to facilitate secure wireless applications." 2003 ITS Asia-Australasia Regional Conference. Perth, Australia 22 - 24 Jun 2003 Calgary, Alberta, Canada .
Lessons for SMEs in implementing wireless technology solutions
Gururajan, Raj. 2004. "Lessons for SMEs in implementing wireless technology solutions." 3rd International Conference on SMEs in a Global Economy. Kuala Lumpur, Malaysia 06 - 07 Jul 2004 Wollongong, Australia.
Exploratory study to investigate the applicability of existing digital stethoscopes in a telehealth setting
Gurney, T., Hafeez-Baig, A. and Gururajan, R.. 2009. "Exploratory study to investigate the applicability of existing digital stethoscopes in a telehealth setting." Neelakanta, P. S. (ed.) OCOBIAHC 2009: International Conference on Biomedical Instrumentation and Healthcare Engineering. Chennai, India 06 - 08 Aug 2009 Piscataway, NJ, USA.
Trialling wireless handheld devices in a clinical setting: a Queensland case study
Gurney, Tiana, Hafeez-Baig, Abdul and Gururajan, Raj. 2009. "Trialling wireless handheld devices in a clinical setting: a Queensland case study." Dhillon, Gurpreet (ed.) CISTM 2009: 7th Annual Conference on Information Science, Technology and Management. Gurgaon, India 13 - 15 Jul 2009 Finland.
Exploratory study to understand the phenomena of adoption of wireless handheld devices in the Australian healthcare system
Hafeez-Baig, Abdul and Gururajan, Raj. 2009. "Exploratory study to understand the phenomena of adoption of wireless handheld devices in the Australian healthcare system." Journal of Systems and Information Technology. 11 (1), pp. 43-56. https://doi.org/10.1108/13287260910932403
The problems of implementing electronic signatures in a wireless environment
Gururajan, Raj and Howard, Angela. 2004. "The problems of implementing electronic signatures in a wireless environment." 9th Annual Conference of Asia Pacific Decision Sciences Institute (APDSI 2004). Seoul, Korea 01 - 04 Jul 2004 Hong Kong, China.
Barriers to the inclusion of wireless technology in aged care applications - a review
Gururajan, Raj, Howard, Srecko, Genrich, Rohan and Low, Ee Kuan. 2004. "Barriers to the inclusion of wireless technology in aged care applications - a review." Conrick, Moya and Soar, Jeffrey (ed.) 1st Australian Aged and Community Care Informatics Conference (ACCIC'04). Brisbane, Australia 24 - 25 Aug 2004 Brunswick East, Australia.
An exploratory qualitative study to determine factors influencing the adoption of mobile learning for tertiary education
Gururajan, Raj, McDonald, Jacquelin, Gururajan, Vijaya and Genrich, Rohan. 2007. "An exploratory qualitative study to determine factors influencing the adoption of mobile learning for tertiary education." International Journal of Technology, Knowledge and Society. 2 (6), pp. 33-40.
Online learning with peer-review: an initial study
Gururajan, Raj, Hafeez-Baig, Abdul and Khan, Shamim. 2008. "Online learning with peer-review: an initial study." 2008 World Conference on E-Learning in Corporate, Government, Healthcare & Higher Education (E-Learn 2008). Las Vegas, United States of America 17 - 21 Nov 2008 Chesapeake, VA, United States.
Pakastani healthcare professionals views and opinions about use of wireless handheld devices in healthcare environment
Gururajan, Raj, Hafeez-Baig, Abdul and Kerr, Don. 2008. "Pakastani healthcare professionals views and opinions about use of wireless handheld devices in healthcare environment." Electronic Journal of Health Informatics. 3 (2), pp. 1-10.
Use and useability of learning objects within the COLIS demonstrator framework (Interaction of IT systems & repositories project report)
Phillips, R. A., Rai, S., Sudweeks, F., Gururajan, R., Jones, M., Shiers, D. and O'Neil, R.. 2005. Use and useability of learning objects within the COLIS demonstrator framework (Interaction of IT systems & repositories project report). Sydney, Australia. Macquarie University.
Transforming the practice of mobile learning: promoting pedagogical innovation through educational principles and strategies that work
Danaher, Patrick, Gururajan, Raj and Hafeez-Baig, Abdul. 2009. "Transforming the practice of mobile learning: promoting pedagogical innovation through educational principles and strategies that work." Hokyoung, Ryu and Parsons, D. (ed.) Innovative mobile learning: techniques and technologies. Hershey PA, USA. IGI Global. pp. 21-46
Clinical usefulness of handheld wireless technology in healthcare: a cross-national study of Australia and India
Gururajan, Raj, Quaddus, Mohammed and Xu, Jun. 2008. "Clinical usefulness of handheld wireless technology in healthcare: a cross-national study of Australia and India." Journal of Systems and Information Technology. 10 (1), pp. 72-85.
Wireless emails: issues, challenges and guidelines for implementation
Howard, Angela, Low, Ee Kuan, Byrnes, Peter and Gururajan, Raj. 2004. "Wireless emails: issues, challenges and guidelines for implementation." Conrick, Moya and Soar, Jeffrey (ed.) 1st Australian Aged and Community Care Informatics Conference (ACCIC'04). Brisbane, Australia 24 - 25 Aug 2004 Brunswick East, Vic, Australia.
Factors influencing the intention to use wireless technology in healthcare: an Indian study
Gururajan, Raj. 2007. "Factors influencing the intention to use wireless technology in healthcare: an Indian study." Wootton, Richard (ed.) 7th International Conference on Successes and Failures in Telehealth. Brisbane, Australia 27 - 28 Aug 2007 Brisbane, Australia.
An exploratory study to determine students' perceptions of the value of interaction in an Australian classroom context and the perceived impact on learning outcomes
McDonald, Jacquelin, Birch, Dawn, Gray, Anthony, Gururajan, Raj, Hingst, Raymond D. and Maguire, Michael. 2005. "An exploratory study to determine students' perceptions of the value of interaction in an Australian classroom context and the perceived impact on learning outcomes." CRLL 2005: What a Difference a Pedagogy Makes: Researching Lifelong Learning and Teaching. Glasgow, Scotland 24 - 26 Jun 2005 London, United Kingdom.
Motivations and challenges for m-business transformation: a multiple-case study
Tsai, Heng-Sheng and Gururajan, Raj. 2007. "Motivations and challenges for m-business transformation: a multiple-case study." Journal of Theoretical and Applied Electronic Commerce Research. 2 (2), pp. 19-33.
Global implementation of digital stethoscope for telehealth or telemedicine: an Australian case study
Hafeez-Baig, Abdul, Scott, Annette, Sarquis, Colleen, Cockfield, Glenys and Gururajan, Raj. 2007. "Global implementation of digital stethoscope for telehealth or telemedicine: an Australian case study." 5th International Symposium on Management of Technology (ISMOT 2007). Hangzhou, China 01 - 03 Jun 2007 China.
Factors influencing the intention to use wireless technology in health care: a study in India
Gururajan, Raj. 2007. "Factors influencing the intention to use wireless technology in health care: a study in India." Journal of Telemedicine and Telecare. 13 (3 (Supplement)), pp. 40-41. https://doi.org/10.1258/135763307783247167
Technology management, data management, improved outcomes, efficiency and software limitation influencing the use of wireless technology for healthcare in Pakistan
Hafeez-Baig, Abdul, Grist, Shelly and Gururajan, Raj. 2007. "Technology management, data management, improved outcomes, efficiency and software limitation influencing the use of wireless technology for healthcare in Pakistan." Lee, Roger, Chowdhury, Morshed U., Ray, Sid and Lee, Thuy (ed.) ICIS 2007: 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007). Melbourne, Australia 11 - 13 Jul 2007 Los Alamitos, CA. United States. https://doi.org/10.1109/ICIS.2007.177
The effects of culture on knowledge management practice: A qualitative case study of MSC status companies
Gan, Gerald Goh Guan, Ryan, Charmaine and Gururajan, Raj. 2006. "The effects of culture on knowledge management practice: A qualitative case study of MSC status companies." Kajian Malaysia. 24 (1/2), pp. 97-128.
Drivers of wireless technology in healthcare: an Indian study
Gururajan, Raj. 2007. "Drivers of wireless technology in healthcare: an Indian study." Osterle, H., Schelp, J. and Winter, Robert (ed.) 15th European Conference on Information Systems: Relevant rigour - Rigorous relevance (ECIS 2007). St Gallen, Switzerland 07 - 09 Jun 2007 Switzerland.
A discussion on security risks in mobile commerce
Gururajan, Raj. 2006. "A discussion on security risks in mobile commerce." E-Business Review. 7 (2), pp. 9-39.
An exploratory study of mobile learning for tertiary education: a discussion with students
Hafeez-Baig, Abdul, Gururajan, Raj and Gururajan, Vijaya. 2006. "An exploratory study of mobile learning for tertiary education: a discussion with students." International Journal of Pedagogies and Learning. 2 (1), pp. 76-88.
Preliminary investigation to explore perceptions of security issues associated with wireless technology in healthcare in Australia
Tiong, I. C., Hafeez-Baig, Abdul, Gururajan, Raj and Soar, Jeffrey. 2006. "Preliminary investigation to explore perceptions of security issues associated with wireless technology in healthcare in Australia." Westbrook, J. and Callen, J. (ed.) Health Infomatics Conference 2006: Bridging the Digital Divide: Clinician, Consumer and Computer (HIC 2006). Sydney, Australia 20 - 22 Aug 2006 Melbourne, Australia.
Determinants for a generic mobile commerce transformation framework
Tsai, Heng-Sheng and Gururajan, Raj. 2005. "Determinants for a generic mobile commerce transformation framework." Swatman, Paul and Swatman, Paula (ed.) 2005 CollECTeR Conference on eCommerce. Sydney, Australia 13 Jul 2005 South Australia.
A program for collaborative research in ageing and aged care
Gururajan, Raj, Gururajan, Vijaya and Soar, Jeffrey. 2005. "A program for collaborative research in ageing and aged care." Soar, Jeffrey and Edgecumbe, Joan (ed.) 2nd Australian Aged and Community Care Informatics Conference (ACCIC'05). Hobart, Tasmania 04 - 06 May 2005 Brunswick East, Australia.
Mobile solutions for aged care: a transformational framework
Soar, Jeffrey, Tsai, Heng-Sheng, Yong, Jianming and Gururajan, Raj. 2005. "Mobile solutions for aged care: a transformational framework." Soar, Jeffrey and Edgecumbe, Joan (ed.) 2nd Australian Aged and Community Care Informatics Conference (ACCIC'05). Hobart, Tasmania 04 - 06 May 2005 Brunswick East, Australia.
An exploratory model of drivers for wireless handheld technology adoption derived from qualitative data: views from the Australian healthcare professionals
Gururajan, Raj. 2005. "An exploratory model of drivers for wireless handheld technology adoption derived from qualitative data: views from the Australian healthcare professionals." Ramayah, T., Sulaiman, Mohamed, Harun, Hasnah, Ali, Ruhani, Nasurdin, Aizzat Mohd., Wahid, Nabsiah Abdul and Osman, Intan (ed.) 6th Asian Academy of Management Conference: Emerging Asian Economy: Local Strategies, Global Impact. Perak, Malaysia 09 - 11 Dec 2005 Malaysia.
Developing mobile technologies for healthcare: challenge to be addressed in a globally distributed work (GDW) environment
Gururajan, Raj. 2005. "Developing mobile technologies for healthcare: challenge to be addressed in a globally distributed work (GDW) environment." Kumar, Kuldeep and Krishna, S. (ed.) 1st International Conference on Management of Globally Distributed Work. Bangalore, India 28 - 30 Dec 2005 India.
Management challenges in implementing electronic signatures
Gururajan, Raj. 2005. "Management challenges in implementing electronic signatures." Chandrasekaran, Kesavan (ed.) International Conference - Innovative New Product Development: Engineering Meets Marketing (2005). Madras, India 21 - 23 Dec 2005 India.
Necessity for the management of innovative wireless solutions in the Australian healthcare market
Gururajan, Raj. 2005. "Necessity for the management of innovative wireless solutions in the Australian healthcare market." Chandrasekaran, Kesavan (ed.) International Conference - Innovative New Product Development: Engineering Meets Marketing (2005). Madras, India 21 - 23 Dec 2005 India.
Challenges for implementing wireless hand-held technology in health care: views from selected Queensland nurses
Gururajan, Raj, Moloney, Clint and Soar, Jeffrey. 2005. "Challenges for implementing wireless hand-held technology in health care: views from selected Queensland nurses." Journal of Telemedicine and Telecare. 11 (2 (Supplement)), pp. 37-38. https://doi.org/10.1258/135763305775124849
Wireless ehealth applications: are we on the right track?
Gururajan, Raj and Hafeez-Baig, Abdul. 2005. "Wireless ehealth applications: are we on the right track?" Isaias, Pedro, Nunes, Miguel Baptista and Reis, Antonio Palma dos (ed.) IADIS Virtual Multi Conference on Computer Science and Information Systems 2005 (IADIS 2005). Virtual 11 - 29 Apr 2005 United States.
Case study: wireless handheld application for an emergency department
Gururajan, Raj. 2005. "Case study: wireless handheld application for an emergency department." Isaias, Pedro, Nunes, Miguel Baptista and Reis, Antonio Palma dos (ed.) IADIS Virtual Multi Conference on Computer Science and Information Systems 2005 (IADIS 2005). Virtual 11 - 29 Apr 2005 United States.
Attitude towards plagiarism in information systems in Australian universities
Gururajan, Raj and Roberts, Dave. 2005. "Attitude towards plagiarism in information systems in Australian universities." Wei, Chih-Ping and Yen, Benjamin (ed.) 9th Pacific Asia Conference on Information Systems (PACIS 2005). Bangkok, Thailand 07 - 10 Jul 2005 Hong Kong.
Innovation in ageing for regional communities: planning for productive ageing in the Wide Bay/Burnett region of Queensland
Soar, Jeffrey, Garlick, Steve, Waterman, P. and Gururajan, Raj. 2005. "Innovation in ageing for regional communities: planning for productive ageing in the Wide Bay/Burnett region of Queensland." Abbey, Jennifer (ed.) 38th National Conference of the Australian Association of Gerontology. Gold Coast, Australia 09 - 11 Nov 2005 Sydney, Australia.
Out patient orthopaedic consultations via telehealth: a qualitative study
Gururajan, Raj, Gururajan, Vijaya, Moloney, Clint and Scott, Annette. 2005. "Out patient orthopaedic consultations via telehealth: a qualitative study." Beekhuyzen, Jenine, Von Hellens, Lisa, Guest, Karen, Morley, Morley and Collier, Toni (ed.) 2005 QualIT Challenges for Qualitative Research. Brisbane, Australia 23 - 25 Nov 2005 Brisbane, Australia.
Facilitators and inhibitors for wireless handheld technology: views from Queensland nurses
Gururajan, Raj and Moloney, Clint. 2005. "Facilitators and inhibitors for wireless handheld technology: views from Queensland nurses." Beekhuyzen, Jenine, Von Hellens, Lisa, Guest, Karen, Morley, Morley and Collier, Toni (ed.) 2005 QualIT Challenges for Qualitative Research. Brisbane, Australia 23 - 25 Nov 2005 Brisbane, Australia.
Adoption of wireless handheld technology: a case of Queensland healthcare
Gururajan, Raj, Hafeez-Baig, Abdul and Moloney, Clint. 2005. "Adoption of wireless handheld technology: a case of Queensland healthcare." Yeung, Jeff (ed.) 5th International Conference on Electronic Business: Enhancing Logistics & Supply Chain Competence Through E-Business (ICEB 2005). Hong Kong, China 05 - 09 Dec 2005 Hong Kong, China.
Necessity for a new technology acceptance model to predict adoption of wireless technology in healthcare
Gururajan, Raj, Toleman, Mark and Soar, Jeffrey. 2004. "Necessity for a new technology acceptance model to predict adoption of wireless technology in healthcare." Health Informatics Conference 2004 (HIC 2004). Brisbane, Australia 2004 Melbourne, Australia.
Opinions expressed by healthcare professionals on the impact of telecommunication services in implementing wireless technology
Gururajan, Raj and Vuori, Timo. 2005. "Opinions expressed by healthcare professionals on the impact of telecommunication services in implementing wireless technology." Cooper, Russel, Madden, Gary and Lloyd, Ashley (ed.) ITS Africa-Asia-Australasia Regional Conference - ICT Networks - Building Blocks for Economic Development (2005). Perth, Australia 28 - 30 Aug 2005 Perth, Australia.
Introducing mobile technologies in support of healthcare
Gururajan, Raj, Murugesan, San and Soar, Jeffrey. 2005. "Introducing mobile technologies in support of healthcare." Cutter IT Journal. 18 (8), pp. 12-18.
An examination into the role of knowledge management and computer security in organizations
Gururajan, Raj and Gururajan, Vijaya. 2005. "An examination into the role of knowledge management and computer security in organizations." Sohal, Amrik and Cooney, Richard (ed.) 7th International Research Conference on Quality, Innovation & Knowledge Management: Applications and Synthesis in the Global Economy. Kuala Lumpur, Malaysia 16 - 18 Feb 2005 Kuala Lumpur, Malaysia.
Drivers for wireless handheld technology: views from Queensland nurses
Gururajan, Raj, Moloney, Clint and Kerr, Don. 2005. "Drivers for wireless handheld technology: views from Queensland nurses." Shehadie, Elias (ed.) Australasian Business and Behavioural Sciences Association Conference 2005 (ABBSA 2005). Cairns, Australia 05 - 07 Aug 2005 Australia.
Wireless solutions developed for the Australian healthcare: a review
Gururajan, Raj and Murugesan, San. 2005. "Wireless solutions developed for the Australian healthcare: a review." Brookes, Wayne, Lawrence, Elaine, Steele, Robert and Chang, Elizabeth (ed.) International Conference on Mobile Business (ICMB 2005). Sydney, Australia 11 - 13 Jul 2005 Los Alamitos, CA. United States. https://doi.org/10.1109/ICMB.2005.116
Drivers and inhibitors of the adoption of wireless handheld technology in the healthcare industry: views from selected WA stakeholders
Quaddus, Mohammed, Fink, Dieter, Gururajan, Raj and Vuori, Timo. 2005. "Drivers and inhibitors of the adoption of wireless handheld technology in the healthcare industry: views from selected WA stakeholders." Grain, Heather, Wise, Marcus and Chu, Stephen (ed.) Health Informatics Conference 2005: Improving Healthcare Through Informatics (HIC 2005). Melbourne, Australia 31 Jul - 02 Aug 2005 Australia.
Mobile business: an exploratory study to define a framework for the transformation process
Tsai, Heng-Sheng and Gururajan, Raj. 2005. "Mobile business: an exploratory study to define a framework for the transformation process." Eldon, Li (ed.) APDSI 2005. Taipei, Taiwan 28 Jun - 02 Jul 2005 Taiwan.
An investigation into the factors of adoption of wireless applications for data management by nurses
Gururajan, Raj, Kerr, Don, Moloney, Clint and Houghton, Luke. 2005. "An investigation into the factors of adoption of wireless applications for data management by nurses." Eldon, Li (ed.) APDSI 2005. Taipei, Taiwan 28 Jun - 02 Jul 2005 Taipei, Taiwan.
Wireless workforce: legal issues and risks
Gururajan, Raj. 2005. "Wireless workforce: legal issues and risks." Dhillon, Gurpreet and Jaiswal, Mahadeo (ed.) 3rd Annual Conference on Information Science, Technology & Management (CISTM 2005). India 24 - 26 Jul 2005 Finland.
Implementation of electronic signatures: a discussion on regulatory issues
Gururajan, Raj. 2005. "Implementation of electronic signatures: a discussion on regulatory issues." Dhillon, Gurpreet and Jaiswal, Mahadeo (ed.) 3rd Annual Conference on Information Science, Technology & Management (CISTM 2005). India 24 - 26 Jul 2005 Finland.
A preliminary study to determine attitudes towards plagiarism in information systems
Roberts, Dave and Gururajan, Raj. 2004. "A preliminary study to determine attitudes towards plagiarism in information systems." Elliot, Steve, Williams, Mary-Anne, Williams, Sue and Pollard, Carol (ed.) 15th Australasian Conference on Information Systems (ACIS 2004). Hobart, Australia 01 - 03 Dec 2004 Hobart, Australia.
A preliminary study to determine the role of organizational knowledge in computer security
Gururajan, Raj and Thompson, Alan. 2004. "A preliminary study to determine the role of organizational knowledge in computer security." Elliott, Steve, Williams, Mary-Anne, Williams, Sue and Pollard, Carol (ed.) 15th Australasian Conference on Information Systems (ACIS 2004). Hobart, Australia 01 - 03 Dec 2004 Hobart, Australia.