461103. Deep learning
| Title | 461103. Deep learning |
|---|---|
| Parent | 4611. Machine learning |
Latest research outputs
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3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning
Ji, Xiaopeng, Li, Yan and Wen, Peng. 2023. "3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31, pp. 3513-3523. https://doi.org/10.1109/TNSRE.2023.3309542Article
A comprehensive investigation of wetting distribution pattern on sloping lands under drip irrigation: A new gradient boosting multi-filtering-based deep learning approach
Jamei, Mehdi, Karimi, Bakhtiar, Ali, Mumtaz, Alinazari, Fariba, Karbasi, Masoud, Maroufpoor, Eisa and Chu, Xuefeng. 2023. "A comprehensive investigation of wetting distribution pattern on sloping lands under drip irrigation: A new gradient boosting multi-filtering-based deep learning approach." Journal of Hydrology. 620 (Part A). https://doi.org/10.1016/j.jhydrol.2023.129402Article
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Sharma, Ekta, Jamei, Mozhdeh, Chu, Xuefeng and Yaseen, Zaher Mundher. 2023. "A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture." Engineering Applications of Artificial Intelligence. 120. https://doi.org/10.1016/j.engappai.2023.105895Article
A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting
Ahmadianfar, Iman, Farooque, Aitazaz Ahsan, Ali, Mumtaz, Jamei, Mehdi, Jamei, Mozhdeh and Yaseen, Zaher Mundher. 2025. "A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting." Scientific Reports. 15. https://doi.org/10.1038/s41598-025-90628-6Article
A Lightweight Deep Learning Model for EEG Classification Across Visual Stimuli
Liu, Yi, Goh, Steven, Low, Tobias, Quince, Zach and Teragawa, Shoryu. 2024. "A Lightweight Deep Learning Model for EEG Classification Across Visual Stimuli." 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580396Paper
A Multi-Plane Decoupled Convolutional Network for EEG-Based Auditory Attention Detection
Huang, Wei, Mei, Jiahao, Wei, Shicheng and Wang, Huabin. 2024. "A Multi-Plane Decoupled Convolutional Network for EEG-Based Auditory Attention Detection." 2024 9th International Conference on Signal and Image Processing (ICSIP). Nanjing, China 12 - 14 Jul 2024 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICSIP61881.2024.10671502Paper
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/BESC51023.2020.9348322Paper
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
Jamei, Mehdi, Karbasi, Masoud, Ali, Mumtaz, Malik, Anurag, Chu, Xuefeng and Yaseen, Zaher Mundher. 2023. "A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm." Expert Systems with Applications. 222. https://doi.org/10.1016/j.eswa.2023.119811Article
A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
Rajapakshe, Thejan, Rana, Rajib, Khalifa, Sara, Liu, Jiajun and Schuller, Bjorn W. 2022. "A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition." Abramson, David and Dinh, Minh Ngoc (ed.) 2022 Australasian Computer Science Week (ACSW 2022). Brisbane, Australia 14 - 17 Feb 2022 United States. https://doi.org/10.1145/3511616.3513104Paper
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/BESC53957.2021.9635559Paper
A survey on deep reinforcement learning for audio‑based applications
Latif, Siddique, Cuayahuitl, Heriberto, Pervez, Farrukh, Shamshad, Fahad, Ali, Hafiz Shehbaz and Cambria, Erik. 2023. "A survey on deep reinforcement learning for audio‑based applications." Artificial Intelligence Review: an international survey and tutorial journal. 56 (3), p. 2193–2240. https://doi.org/10.1007/s10462-022-10224-2Article
Accurate monitoring of micronutrients in tilled potato soils of eastern Canada: Application of an eXplainable inspired-adaptive boosting framework coupled with SelectKbest
Jamei, Mehdi, Ali, Mumtaz, Afzaal, Hassan, Karbasi, Masoud, Malik, Anurag, Farooque, Aitazaz Ahsan, Haydar, Zeeshan and Zaman, Qamar Uz. 2024. "Accurate monitoring of micronutrients in tilled potato soils of eastern Canada: Application of an eXplainable inspired-adaptive boosting framework coupled with SelectKbest." Computers and Electronics in Agriculture. 216. https://doi.org/10.1016/j.compag.2023.108479Article
Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Karbasi, Masoud, Sharma, Ekta and Yaseen, Zaher Mundher. 2022. "Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model." Journal of Cleaner Production. 374, pp. 1-17. https://doi.org/10.1016/j.jclepro.2022.134011Article
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks
Barzegar, Rahim, Sattarpour, Masoud, Deo, Ravinesh, Fijani, Elham and Adamowski, Jan. 2020. "An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks." Neural Computing and Applications. 32 (13), pp. 9065-9080. https://doi.org/10.1007/s00521-019-04418-zArticle
An Explainable Predictive Approach for Investigation of Greenhouse Gas Emissions in Maritime Canada's Potato Agriculture
Jamei, Mehdi, Yaqoob, Nauman, Farooque, Aitazaz A., Ali, Mumtaz, Malik, Anurag, Esau, Travis J. and Hu, Yulin. 2025. "An Explainable Predictive Approach for Investigation of Greenhouse Gas Emissions in Maritime Canada's Potato Agriculture." Smart Agricultural Technology . 10. https://doi.org/10.1016/j.atech.2024.100709Article
Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine
Jamei, Mehdi, Sharma, Prabhakar, Ali, Mumtaz, Bora, Bhaskor J., Malik, Anurag, Paramasivam, Prabhu, Farooque, Aitazaz A. and Abdulla, Shahab. 2024. "Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine." Energy. 288. https://doi.org/https://doi.org/10.1016/j.energy.2023.129862Article
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
Bargshady, Ghazal, Zhou, Xujuan, Barua, Prabal Datta, Gururajan, Raj, Li, Yuefeng and Acharya, U. Rajendra. 2022. "Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images." Pattern Recognition Letters. 153, pp. 67-74. https://doi.org/10.1016/j.patrec.2021.11.020Article
Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands
Chand, Ravinesh. 2024. Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y7zMasters Thesis
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee, Leng, Mingming and Lei, Baiying. 2024. "Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics." Artificial Intelligence Review. 57 (4). https://doi.org/10.1007/s10462-024-10712-7Article
Assessing Pan-Canada wildfire susceptibility by integrating satellite data with novel hybrid deep learning and black widow optimizer algorithms
Khosravi, Khabat, Mosallanejad, Ashkan, Bateni, Sayed M., Kim, Dongkyun, Jun, Changhyun, Shahvaran, Ali Reza, Farooque, Aitazaz A., Karbasi, Massoud and Ali, Mumtaz. 2025. "Assessing Pan-Canada wildfire susceptibility by integrating satellite data with novel hybrid deep learning and black widow optimizer algorithms." Science of the Total Environment. 977. https://doi.org/https://doi.org/10.1016/j.scitotenv.2025.179369Article
Atmospheric visibility and cloud cover forecasting with novel artificial intelligence methods for Fiji's aviation sector
Raj, Shiveel. 2024. Atmospheric visibility and cloud cover forecasting with novel artificial intelligence methods for Fiji's aviation sector. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y1yMasters Thesis
Automatic disparity search range estimation in deep learning stereo
Perera, Ruveen. 2021. Automatic disparity search range estimation in deep learning stereo. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/m0vj-5p57PhD Thesis
Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare
Salman, Muhammad, Munawar, Hafiz Suliman, Latif, Khalid, Akram, Muhammad Waseem, Khan, Sara Imran and Ullah, Fahim. 2022. "Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare." Big Data and Cognitive Computing. 6 (1), pp. 1-17. https://doi.org/10.3390/bdcc6010030Article
CNN Based Image Classification of Malicious UAVs
Brown, Jason, Gharineiat, Zahra and Raj, Nawin. 2023. "CNN Based Image Classification of Malicious UAVs." Applied Sciences. 13 (1), pp. 1-13. https://doi.org/10.3390/app13010240Article
Contribution of Geometric Feature Analysis for Deep Learning Classification Algorithms of Urban LiDAR Data
Tarsha Kurdi, Fayez, Amakhchan, Wijdan, Gharineiat, Zahra, Boulaassal, Hakim and Kharki, Omar El. 2023. "Contribution of Geometric Feature Analysis for Deep Learning Classification Algorithms of Urban LiDAR Data." Sensors. 23 (17). https://doi.org/10.3390/s23177360Article
Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation
Latif, Siddique, Kim, Inyoung, Calapodescu, Ioan and Besacier, Laurent. 2021. "Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation." 25th Conference on Computational Natural Language Learning (CoNLL 2021). Punta Cana, Dominican Republic 10 - 11 Nov 2021 Stroudsburg, Pennsylvania. https://doi.org/10.18653/v1/2021.conll-1.42Paper
Cutting through the hype: artificial intelligence for clinical decision support in psychiatry
Squires, Matthew. 2024. Cutting through the hype: artificial intelligence for clinical decision support in psychiatry. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zqv3yPhD by Publication
Decentralized Blockchain Network
Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2023. "Decentralized Blockchain Network." 2022 Tenth International Conference on Advanced Cloud and Big Data (CBD). Guilin, China 04 - 05 Nov 2022 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CBD58033.2022.00049Paper
Deep learning based sleep stage classification
Ji, Xiaopeng. 2023. Deep learning based sleep stage classification. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z4y9qPhD by Publication
Deep learning based sleep stage classification studies
Pei, Wei. 2023. Deep learning based sleep stage classification studies. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z7y01PhD by Publication
Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Sharma, Ekta and Ali, Mumtaz. 2022. "Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction." Measurement. 202, pp. 1-22. https://doi.org/10.1016/j.measurement.2022.111759Article
Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review
Ozkan, Dilek, Katar, Oguzhan, Ak, Murat, Al-Antari, Mugahed A., Ak, Nehir Yasan, Yildirim, Ozal, Mir, Hasan S., Tan, Ru-San and Acharya, U. Rajendra. 2024. "Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review ." IEEE Access. 12, pp. 127879-127902. https://doi.org/10.1109/ACCESS.2024.3454709Article
Deep Learning-Assisted Sensitive 3C-SiC Sensor for Long-Term Monitoring of Physical Respiration
Tran, Thi Lap, Nguyen, Duy Van, Nguyen, Hung, Nguyen, Thi Phuoc Van, Song, Pingan, Deo, Ravinesh C, Moloney, Clint, Dao, Viet Dung, Nguyen, Nam-Trung and Dinh, Toan. 2024. "Deep Learning-Assisted Sensitive 3C-SiC Sensor for Long-Term Monitoring of Physical Respiration." Advanced Sensor Research. 3 (8). https://doi.org/10.1002/adsr.202300159Article
Deep Representation Learning for Speech Emotion Recognition
Latif, Siddique. 2022. Deep Representation Learning for Speech Emotion Recognition. PhD by Publication Doctor of Philosophy (DPHD). University of Southern Queensland. https://doi.org/10.26192/w8w00PhD by Publication
Designing empirical fourier decomposition reinforced with multiscale increment entropy and deep learning to forecast dry bulb air temperature
Diykh, Mohammed, Ali, Mumtaz, Labban, Abdulhaleem H., Prasad, Ramendra, Jamei, Mehdi, Abdulla, Shahab and Farooque, Aitazaz Ahsan. 2025. "Designing empirical fourier decomposition reinforced with multiscale increment entropy and deep learning to forecast dry bulb air temperature." Results in Engineering. 26. https://doi.org/10.1016/j.rineng.2025.104597Article
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps
Bagherzadeh, Sara, Shalbaf, Ahmad, Shoeibi, Afshin, Jafari, Mahboobeh, Tan, Ru-San and Acharya, U. Rajendra. 2024. "Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps." IEEE Access. 12, pp. 50949-50965. https://doi.org/10.1109/ACCESS.2024.3384303Article
Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Karbasi, Masoud, Rai, Priya and Yaseen, Zaher Mundher. 2023. "Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting." Journal of Hydrology. 617 (Part C). https://doi.org/10.1016/j.jhydrol.2023.129105Article
Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration
Karbasi, Masoud, Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Chu, Xuefeng, Farooque, Aitazaz Ahsan and Yaseen, Zaher Mundher. 2023. "Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration." Agricultural Water Management. 290. https://doi.org/10.1016/j.agwat.2023.108604Article
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition
Rajapakshe, Thejan, Rana, Rajib, Khalifa, Sara and Schuller, Björn W.. 2024. "Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition." IEEE Access. 12, pp. 193101-193114. https://doi.org/10.1109/ACCESS.2024.3519761Article
Dual-interactive fusion for code-mixed deep representation learning in tag recommendation
Li, Lin, Wang, Peipei, Zheng, Xinhao, Xie, Qing, Tao, Xiaohui and Velasquez, Juan D.. 2023. "Dual-interactive fusion for code-mixed deep representation learning in tag recommendation." Information Fusion. 99. https://doi.org/10.1016/j.inffus.2023.101862Article