461103. Deep learning
| Title | 461103. Deep learning |
|---|---|
| Parent | 4611. Machine learning |
Latest research outputs
Sort by Date Title
Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia
Rezaie, Fatemeh, Panahi, Mahdi P, Jun, Changhyun, Dayal, Kavina, Kim, Dongkyun, Darabi, Hamid, Kalantari, Zahra, Seifollahi-Aghmiuni, Samaneh, Deo, Ravinesh C. and Bateni, Sayed M.. 2025. "Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia." Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-024-02879-wArticle
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 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 advanced feature selection and uncertainty quantification-based deep learning approach to predict chlorophyll-a and water bloom risks in dam reservoir
Seifi, Akram, Riahi Madvar, Hossien, Davarpanah, Rouhollah, Ali, Mumtaz and Mashat, Abdul-Wahab. 2025. "Designing advanced feature selection and uncertainty quantification-based deep learning approach to predict chlorophyll-a and water bloom risks in dam reservoir." Journal of Water Process Engineering. 77. https://doi.org/10.1016/j.jwpe.2025.108341Article
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
Designing robust adaptive ensemble deep learning based decomposition technique for sea level variability prediction
Diykh, Mohammed, Ali, Mumtaz, Farooque, Aitazaz A., Aldhafeeri, Anwar Ali and Labban, Abdulhaleem H.. 2026. "Designing robust adaptive ensemble deep learning based decomposition technique for sea level variability prediction." Applied Ocean Research. 166. https://doi.org/10.1016/j.apor.2026.104925Article
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 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
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
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
Dynamic graph learning framework based seasonal and trend decomposition approach for potato crop evapotranspiration prediction
Cheema, Saad Javed, Diykh, Mohammed, Ali, Mumtaz, Farooque, Aitazaz A., Malekian, Raheleh, Saleem, Shoaib Rashid, Galagedara, Lakshman W., Sadiq, Rehan, Randhawa, Gurjit S. and Zaman, Qamar Uz. 2025. "Dynamic graph learning framework based seasonal and trend decomposition approach for potato crop evapotranspiration prediction." Scientific Reports. 15. https://doi.org/10.1038/s41598-025-28592-4Article
Dynamic Task Allocation For Robotic Edge System Resilience Using Deep Reinforcement Learning
Afrin, Mahbuba, Jin, Jiong, Rahman, Ashfaqur, Li, Shi, Tian, Yu-Chuv and Li, Yan. 2024. "Dynamic Task Allocation For Robotic Edge System Resilience Using Deep Reinforcement Learning." IEEE Transactions on Systems, Man and Cybernetics: Systems. 54 (3), pp. 1438-1450. https://doi.org/10.1109/TSMC.2023.3327959Article
Educational Decision Support System Adopting Sentiment Analysis on Student Feedback
Shaik, Thanveer, Tao, Xiaohui, Dann, Chris, Quadrelli, Carol, Li, Yan and O’Neill, Shirley. 2022. "Educational Decision Support System Adopting Sentiment Analysis on Student Feedback." 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Niagara Falls, Canada 17 - 20 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/WI-IAT55865.2022.00062Paper
EEG channel correlation based model for emotion recognition
Islam, Md Rabiul, Islam, Md Milon, Rahman, Md Mustafizur, Mondal, Chayan, Singha, Suvojit Kumar, Ahmad, Mohiuddin, Awal, Abdul, Islam, Md Saiful and Moni, Mohammad Ali. 2021. "EEG channel correlation based model for emotion recognition." Computers in Biology and Medicine. 136. https://doi.org/10.1016/j.compbiomed.2021.104757Article
emoDARTS: Joint Optimization of CNN and Sequential Neural Network Architectures for Superior Speech Emotion Recognition
Rajapakshe, Thejan, Rana, Rajib, Khalifa, Sara, Sisman, Berrak, Schuller, Björn W. and Busso, Carlos. 2024. "emoDARTS: Joint Optimization of CNN and Sequential Neural Network Architectures for Superior Speech Emotion Recognition." IEEE Access. 12, pp. 110492-110503. https://doi.org/10.1109/ACCESS.2024.3439604Article
Emotion Intensity and its Control for Emotional Voice Conversion
Zhou, Kun, Sisman, Berrak, Rana, Rajib, Schuller, Bjorn W. and Li, Haizhou. 2023. "Emotion Intensity and its Control for Emotional Voice Conversion." IEEE Transactions on Affective Computing. 14 (1), pp. 31-48. https://doi.org/10.1109/TAFFC.2022.3175578Article
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data
Diykh, Mohammed, Ali, Mumtaz, Jamei, Mehdi, Abdulla, Shahab, Uddin, Md Palash, Farooque, Aitazaz Ahsan, Labban, Abdulhaleem H. and Alabdally, Hussein. 2024. "Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data." Computers and Electronics in Agriculture. 221. https://doi.org/10.1016/j.compag.2024.108964Article
Enhanced AI-Based Methodologies for Detection of Prenatal & Postnatal Depression In Women
Gopalakrishnan, Abinaya. 2024. Enhanced AI-Based Methodologies for Detection of Prenatal & Postnatal Depression In Women. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z960xPhD Thesis
Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithms
Khosravi, Khabat, Farooque, Aitazaz Ahsan, Karbasi, Masoud, Ali, Mumtaz, Heddam, Salim, Faghfouri, Ali and Abolfathi, Soroush. 2025. "Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithms." Environmental Science and Pollution Research. 32 (11), pp. 6405-6424. https://doi.org/10.1007/s11356-025-36062-7Article
Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images
Mondal, Chayan, Hasan, Md Kamrul, Ahmad, Mohiuddin, Awal, Md. Abdul, Jawad, Md. Tasnim, Dutta, Aishwariya, Islam, Md Rabiul and Moni, Mohammad Ali. 2021. "Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images." Informatics in Medicine Unlocked. 27. https://doi.org/10.1016/j.imu.2021.100794Article
eXplainable expert systems for potato tuber yield prediction in the Maritime provinces of Canada
Jamei, Mehdi, Farooque, Aitazaz Ahsan, Ali, Mumtaz, Karbasi, Masoud, Afzaal, Hassan, Cheema, Saad Javed, Zaman, Qamar Uz, Woon, Kok Sin and Sheridan, Paul. 2025. "eXplainable expert systems for potato tuber yield prediction in the Maritime provinces of Canada." Computers and Electronics in Agriculture. 238. https://doi.org/10.1016/j.compag.2025.110831Article
Explainable hybrid deep learning framework for enhancing multi-step solar ultraviolet-B radiation predictions
Prasad, Salvin S., Joseph, Lionel P., Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J., Acharya, Rajendra and Yaseen, Zaher M.. 2025. "Explainable hybrid deep learning framework for enhancing multi-step solar ultraviolet-B radiation predictions." Atmospheric Environment. 343. https://doi.org/10.1016/j.atmosenv.2024.120951Article
Exploring ChatGPT-Based Augmentation Strategies for Contrastive Aspect-Based Sentiment Analysis
Xu, Lingling, Xie, Haoran, Qin, S. Joe, Wang, Fu Lee and Tao, Xiaohui. 2025. "Exploring ChatGPT-Based Augmentation Strategies for Contrastive Aspect-Based Sentiment Analysis." IEEE Intelligent Systems. 40 (1), pp. 69-76. https://doi.org/10.1109/MIS.2024.3508432Article
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
Shaik, Thanveer, Tao, Xiaohui, Xie, Haoran, Li, Lin, Zhu, Xiaofeng and Li, Qing. 2024. "Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy." IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2024.3486109Article
Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning
Rana, Rajib, Higgins, Niall, Haque, Kazi Nazmul, Burke, Kylie, Turner, Kathryn and Stedman, Terry. 2024. "Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning." Nursing Reports. 14 (4), pp. 4162-4172. https://doi.org/10.3390/nursrep14040303Article
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.2022.109929Article
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Karbasi, Masoud, Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag and Yaseen, Zaher Mundher. 2022. "Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer." Computers and Electronics in Agriculture. 198, pp. 1-17. https://doi.org/10.1016/j.compag.2022.107121Article
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran, Cai, Taotao, Zhu, Xiaofeng and Li, Qing. 2024. "FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning ." IEEE Transactions on Knowledge and Data Engineering. 36 (10), pp. 5153-5167. https://doi.org/10.1109/TKDE.2024.3382726Article
Fully Quanvolutional Networks for Time Series Classification
Orka, Nabil Anan, Haque, Ehtashamul, Awal, Md Abdul and Moni, Mohammad Ali. 2025. "Fully Quanvolutional Networks for Time Series Classification." 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '25). Toronto, Canada 03 - 07 Aug 2025 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3711896.3736972Paper
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence
Shaik, Thanveer, Tao, Xiaohui, Xie, Haoran, Li, Lin, Yong, Jianming and Li, Yuefeng. 2024. "Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (4), pp. 2908-2918. https://doi.org/10.1109/TETCI.2024.3398024Article
Guided Disentangled Representation Learning from Audio data for Transfer Learning
Haque, Kazi Nazmul. 2024. Guided Disentangled Representation Learning from Audio data for Transfer Learning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z9y75PhD by Publication
Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Sharma, Ekta, Salcedo-sanz, Sancho, Barua, Prabal and Acharya, U. Rajendra. 2024. "Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach." Applied Energy. 374. https://doi.org/10.1016/j.apenergy.2024.123920Article
Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment
Schmierer, Thomas, Li, Tianning and Li, Yan. 2024. "Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment." Artificial Intelligence in Medicine. 151. https://doi.org/10.1016/j.artmed.2024.102869Article
High-fidelity audio generation and representation learning with guided adversarial autoencoder
Haque, Kazi Nazmul, Rana, Rajib and Schuller, Bjorn W.. 2020. "High-fidelity audio generation and representation learning with guided adversarial autoencoder." IEEE Access. 8, pp. 223509-223528. https://doi.org/10.1109/ACCESS.2020.3040797Article
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao, Hai, Abba, Sani I., Al-Areeq, Ahmed M., Tangang, Fredolin, Samantaray, Sandeep, Sahoo, Abinash, Siqueira, Hugo Valadares, Maroufpoor, Saman, Demir, Vahdettin, Bokde, Neeraj Dhanraj, Goliatt, Leonardo, Jamei, Mehdi, Ahmadianfar, Iman, Bhagat, Suraj Kumar, Halder, Bijay, Guo, Tianli, Helman, Daniel S., Ali, Mumtaz, Sattar, Sabaa, ..., Yaseen, Zaher Mundher. 2024. "Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions ." Engineering Applications of Artificial Intelligence. 129. https://doi.org/10.1016/j.engappai.2023.107559Article
Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model
Alabdally, Hussein, Ali, Mumtaz, Diykh, Mohammad, Deo, Ravinesh C., Aldhafeeri, Anwar Ali, Abdulla, Shahab and Farooque, Aitazaz Ahsan. 2025. "Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model." Forecasting. 7 (3). https://doi.org/10.3390/forecast7030046Article
Innovative Multi-Temporal Evapotranspiration Forecasting Using Empirical Fourier Decomposition and Bidirectional Long Short-Term Memory
Karbasi, Masoud, Ali, Mumtaz, Randhawa, Gurjit S., Jamei, Mehdi, Malik, Anurag, Hussain, Syed Hamid Hussain, Bos, Melanie, Zaman, Qamar and Farooque, Aitazaz Ahsan. 2024. "Innovative Multi-Temporal Evapotranspiration Forecasting Using Empirical Fourier Decomposition and Bidirectional Long Short-Term Memory." Smart Agricultural Technology . 9. https://doi.org/10.1016/j.atech.2024.100619Article
Investigating the Emotional Response to COVID-19 News on Twitter: A Topic Modeling and Emotion Classification Approach
Oliveira, Francisco Braulio, Haque, Amanul, Mougouei, Davoud, Evans, Simon, Sichman, Jaime Simao and Singh, Munindar P.. 2022. "Investigating the Emotional Response to COVID-19 News on Twitter: A Topic Modeling and Emotion Classification Approach." IEEE Access. 10, pp. 16883-16897. https://doi.org/10.1109/ACCESS.2022.3150329Article
Lightweight federated learning for STIs/HIV prediction
Nguyen, Thi Phuoc Van, Yang, Wencheng, Tang, Zhaohui, Xia, Xiaoyu, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2024. "Lightweight federated learning for STIs/HIV prediction." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-56115-0Article