4611. Machine learning
| Title | 4611. Machine learning |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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An Enhanced Data Collection System for Social Enterprises: Securing Impact with Machine Learning and Cryptography
Muttaki, Fardin, Sahi, Aqeel, Abdulla, Shahab and Aljebur, Kaled. 2025. "An Enhanced Data Collection System for Social Enterprises: Securing Impact with Machine Learning and Cryptography ." FinTech and Sustainable Innovation (FSI). https://doi.org/10.47852/bonviewFSI52025209Article
Predicting near-real-time total water level with an artificial intelligence model based on Australia's tidal wave energy belt dataset
AL-Musaylh, Mohanad S., Gharineiat, Zahra, Al‑Dafaie, Kadhem, Jasim, Khalid Fadhil, Sharma, Ekta and Nahi, Abdullah A.. 2025. "Predicting near-real-time total water level with an artificial intelligence model based on Australia's tidal wave energy belt dataset." Journal of Ocean Engineering and Marine Energy. https://doi.org/10.1007/s40722-025-00394-wArticle
Hybrid CNN–GRU model for hourly flood forecasting index: case studies from the Fiji islands
Chand, Ravinesh, Deo, Ravinesh C., Ghimire, Sujan, Nguyen-Huy, Thong and Ali, Mumtaz. 2025. "Hybrid CNN–GRU model for hourly flood forecasting index: case studies from the Fiji islands." Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-025-02964-8Article
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
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
Electricity demand uncertainty modeling with Temporal Convolution Neural Network models
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-Sanz, Sancho, Acharya, Rajendra and Dinh, Toan. 2025. "Electricity demand uncertainty modeling with Temporal Convolution Neural Network models." Renewable and Sustainable Energy Reviews. 209. https://doi.org/10.1016/j.rser.2024.115097Article
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
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
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
Systematic Review of AI and Machine Learning Approaches for Predicting Crop Diseases in the Context of Climate Change and the Food Security
Kaur, Avneet, Randhawa, Gurjit S., Farooque, Aitazaz A., Singh, Rajandeep, Ali, Mumtaz and Zaman, Qamar U.. 2025. "Systematic Review of AI and Machine Learning Approaches for Predicting Crop Diseases in the Context of Climate Change and the Food Security." Filho, Walter Leal, Matandirotya, Newton, Ayal, Desalegn Yayeh, Luetz, Johannes M. and Borsari, Bruno (ed.) Climate Change, Food Security, and Land Management: Strategies for a Sustainable Future. Switzerland. Springer. pp. 1-20Edited book (chapter)
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
Layered Model Stacking: Enhancing DDoS Detection Through Advanced Ensemble Machine Learning Techniques
Haddad, Nabeel Mahdy, Sahi, Aqeel, Diykh, Mohammed, Aljbur, Kaled, Kutfan, Ali, Abdulla, Shahab and Al-Hraishawi, Hayder. 2025. "Layered Model Stacking: Enhancing DDoS Detection Through Advanced Ensemble Machine Learning Techniques ." Chen, F. (ed.) 2024 IEEE Region 10 Conference (TENCON 2024). Singapore 01 - 04 Dec 2024 IEEE. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/TENCON61640.2024.10902823Paper
Modelling soil physical and chemical properties using existing datasets across grain growing regions of Australia
Gajurel, Suman. 2025. Modelling soil physical and chemical properties using existing datasets across grain growing regions of Australia. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zwv89PhD by Publication
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
Mental Health Diagnosis From Voice Data Using Convolutional Neural Networks and Vision Transformers
Islam, Rafiul, Ahad, Md. Taimur, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "Mental Health Diagnosis From Voice Data Using Convolutional Neural Networks and Vision Transformers." Journal of Voice. https://doi.org/10.1016/j.jvoice.2024.10.010Article
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
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
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
A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation
Ali, Mumtaz, Prasad, Ramendra, Alamery, Salman and Farooque, Aitazaz Ahsan. 2024. "A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation." Results in Engineering. 24. https://doi.org/10.1016/j.rineng.2024.103607Article
Dual-Phase Neural Networks for Feature Extraction and Ensemble Learning for Recognizing Human Health Activities
Dhar, Joy, Rana, Kapil, Goyal, Puneet, Alavi, Azadeh, Rana, Rajib, Vo, Bao Quoc, Mishr, Sudeepta and Mistry, Sajib. 2024. "Dual-Phase Neural Networks for Feature Extraction and Ensemble Learning for Recognizing Human Health Activities." Applied Soft Computing. 169. https://doi.org/10.1016/j.asoc.2024.112550Article
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
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
Monitoring of Greenhouse Gas Emission Drivers in Atlantic Canadian Potato Production: A Robust Explainable Intelligent Glass-Box
Jamei, Mehdi, Hassan, Muhammad, Farooque, Aitazaz A., Ali, Mumtaz, Karbasi, Masoud, Randhawa, Gurjit, Yaseen, Zaher Mundher and Dwyer, Ross. 2024. "Monitoring of Greenhouse Gas Emission Drivers in Atlantic Canadian Potato Production: A Robust Explainable Intelligent Glass-Box." Results in Engineering. 24. https://doi.org/10.1016/j.rineng.2024.103297Article
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
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
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
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
A customised vision transformer for accurate detection and classification of Java Plum leaf disease
Bhowmik, Auvick Chandra, Ahad, Md. Taimur, Emon, Yousuf Rayhan, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "A customised vision transformer for accurate detection and classification of Java Plum leaf disease ." Smart Agricultural Technology . 8. https://doi.org/10.1016/j.atech.2024.100500Article
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
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
Wavelet-fusion image super-resolution model with deep learning for downscaling remotely-sensed, multi-band spectral albedo imagery
Karalasingham, Sagthitharan, Deo, Ravinesh C., Casillas-Perez, David, Raj, Nawin and Salcedo-sanz, Sancho. 2024. "Wavelet-fusion image super-resolution model with deep learning for downscaling remotely-sensed, multi-band spectral albedo imagery." Remote Sensing Applications: Society and Environment. 36. https://doi.org/10.1016/j.rsase.2024.101333Article
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
Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities
Sharma, Ekta, Deo, Ravinesh C., Davey, Christopher P., Carter, Brad D. and Salcedo-sanz, Sancho. 2024. "Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities." 2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2024). Perth, Australia 04 - 07 Jun 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/WoWMoM60985.2024.00054Poster
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 real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network
Shen, Mingkan, Yang, Fuwen, Wen, Peng, Song, Bo and Li, Yan. 2024. "A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network." Heliyon. 10 (11). https://doi.org/10.1016/j.heliyon.2024.e31827Article
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
Near real-time significant wave height prediction along the coastline of Queensland using advanced hybrid machine learning models
Khosravi, K., Ali, M. and Heddam, S.. 2024. "Near real-time significant wave height prediction along the coastline of Queensland using advanced hybrid machine learning models." International Journal of Environmental Science and Technology. https://doi.org/10.1007/s13762-024-05944-7Article
Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting
Karbasi, Masoud, Ali, Mumtaz, Farooque, Aitazaz Ahsan, Jamei, Mehdi, Khosravi, Khabat, Cheema, Saad Javed and Yaseen, Zaher Mundher. 2024. "Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting." Expert Systems with Applications. 256. https://doi.org/10.1016/j.eswa.2024.124900Article
3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications
Dananjaya, S.A.V., Chevali, V.S., Dear, J.P., Potluri, P. and Abeykoon, C.. 2024. "3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications ." Progress in Materials Science. 146. https://doi.org/10.1016/j.pmatsci.2024.101336Article
MLOps-Enabled Security Strategies for Next-Generation Operational Technologies
Ahmad, Tazeem, Adnan, Mohd, Rafi, Saima, Akbar, Muhammad Azeem and Anwar, Ayesha. 2024. "MLOps-Enabled Security Strategies for Next-Generation Operational Technologies." 28th International Conference on Evaluation and Assessment in Software Engineering (EASE '24). Salerno, Italy 18 - 21 Jun 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3661167.3661283Paper