46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs
Chen, Xieling, Xie, Haoran, Zou, Di, Cheng, Gary, Tao, Xiaohui and Wang, Fu Lee. 2025. "Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs." Computers and Education: Artificial Intelligence. 8. https://doi.org/10.1016/j.caeai.2025.100366Article
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee, Zhang, Dian and Dai, Hong-Ning. 2025. "A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling." Journal of Big Data. 12 (1). https://doi.org/10.1186/s40537-025-01068-yArticle
Happiness Prediction With Domain Knowledge Integration and Explanation Consistency
Wu, Xiaohua, Li, Lin, Tao, Xiaohui, Xing, Frank and Yuan, Jingling. 2025. "Happiness Prediction With Domain Knowledge Integration and Explanation Consistency." IEEE Transactions on Computational Social Systems. https://doi.org/10.1109/TCSS.2025.3529946Article
Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation
Wu, Xiaohua, Li, Lin, Tao, Xiaohui, Yuan, Jingling and Xie, Haoran. 2025. "Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation." IEEE Transactions on Emerging Topics in Computational Intelligence. 9 (2), pp. 1392-1405. https://doi.org/10.1109/TETCI.2025.3537918Article
SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection
Sahi, Aqeel, Albdair, Mostfa, Diykh, Mohammed, Abdulla, Shahab, Alghayab, Hadi, Aljebur, Kaled and Alkhafaji, Sarmad K.D.. 2025. "SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection." Expert Systems with Applications. 281. https://doi.org/10.1016/j.eswa.2025.127572Article
An improved hybrid method combined with a cloud-based supervisory control to facilitate smooth coordination under low inertia grids
Suffian, Yiizzan, Haidar, Ahmed M.A., Abidin, Wan AWZ and Basri, Hazrul M.. 2025. "An improved hybrid method combined with a cloud-based supervisory control to facilitate smooth coordination under low inertia grids." Progress in Engineering Science. 2 (2). https://doi.org/10.1016/j.pes.2025.100072Article
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
Secured Multi-Objective Optimisation-Based Protocol for Reliable Data Transmission in Underwater Wireless Sensor Networks
Sahi, A.. 2025. "Secured Multi-Objective Optimisation-Based Protocol for Reliable Data Transmission in Underwater Wireless Sensor Networks." Mesopotamian Journal of Cyber Security. 5 (1), p. 216–239. https://doi.org/10.58496/MJCS/2025/015Article
The Importance of Governance in Metaverse/Blockchain Technology in Education
De Alwis, Anju, Shrestha, Anup and Sarker, Tapan. 2025. "The Importance of Governance in Metaverse/Blockchain Technology in Education." Jung, T., Dieck, M. C., Jeong, S. C., Kim S-H., Sahl, D. and Kim, S. J. (ed.) 9th International XR-Metaverse Conference 2024. Busan, South Korea 22 2022 - 20 May 2024 Switzerland . Springer. pp. 101-112 https://doi.org/10.1007/978-3-031-77975-6_8Paper
The ETHICAL Framework for Responsible Generative AI Use in Research
Eacersall, D., Pretorius, L., Smirnov, I., Spray, E., Illingworth, S., Chugh, R., Strydom, S., Stratton-Maher, D., Simmons, J., Jenning, I., Roux, R., Kamrowski, R., Downie, A., Thong, C. L. and Howell, K. A.. 2025. The ETHICAL Framework for Responsible Generative AI Use in Research . Human-AI Collaborative Knowledgebase for Education and Research (HACKER).Other
Exploring Governance for accreditation in the education sector using blockchain technology: a systematic literature review
De Alwis, Anju, Shrestha, Anup and Sarker, Tapan. 2025. "Exploring Governance for accreditation in the education sector using blockchain technology: a systematic literature review." Discover Education. 4 (1). https://doi.org/10.1007/s44217-025-00449-yArticle
Nonparametric Bootstrap Likelihood Estimation to Investigate the Chance Set-up on Clustering Results
Elnour, Ammar, Yang, Wencheng and Li, Yan. 2025. "Nonparametric Bootstrap Likelihood Estimation to Investigate the Chance Set-up on Clustering Results." IEEE Open Journal of the Computer Society. https://doi.org/10.1109/OJCS.2025.3545261Article
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
Epileptic seizure prediction with machine learning on EEG data
Ra, Jee Sook. 2025. Epileptic seizure prediction with machine learning on EEG data. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zwv98PhD by Publication
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
Cyber Threat Detection on Twitter Using Deep Learning Techniques: IDCNN and BiLSTM Integration
Alsodi, Omar, Zhou, Xujuan, Gururajan, Raj, Shrestha, Anup and Btoush, Eyad. 2025. "Cyber Threat Detection on Twitter Using Deep Learning Techniques: IDCNN and BiLSTM Integration." 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD). Brisbane, Australia 28 Nov - 02 Dec 2024 Australia. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CBD65573.2024.00073Paper
Dynamic-Parameter Genetic Algorithm for Multi-objective Privacy-Preserving Trajectory Data Publishing
Jahan, Samsad, Ge, Yong-Feng, Wang, Hua and Kabir, Enamul. 2025. "Dynamic-Parameter Genetic Algorithm for Multi-objective Privacy-Preserving Trajectory Data Publishing." 25th International Conferenc on Web Information Systems Engineering (WISE 2024). Doha, Qatar 02 - 05 Dec 2024 Singapore. Springer. https://doi.org/10.1007/978-981-96-0576-7_4Paper
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI
Wei, Shicheng, Yang, Wencheng, Wang, Eugene, Wang, Song and Li, Yan. 2025. "A 3D decoupling Alzheimer’s disease prediction network based on structural MRI." Health Information Science and Systems. 13. https://doi.org/10.1007/s13755-024-00333-3Article
Multi‑step solar ultraviolet index prediction: integrating convolutional neural networks with long short‑term memory for a representative case study in Queensland, Australia
AL-Musaylh, Mohan, Al‑Dafaie, Kadhem, Downs, Nathan, Ghimire, Sujan, Ali, Mumtaz, Yaseen, Zaher Mundher, Igoe, Damien P., Deo, Ravinesh C., Paris, Alfo V. and A. Jebar, Mustapha A.. 2025. "Multi‑step solar ultraviolet index prediction: integrating convolutional neural networks with long short‑term memory for a representative case study in Queensland, Australia." Modeling Earth Systems and Environment. 11. https://doi.org/10.1007/s40808-024-02282-yArticle
Effect of Camera Choice on Image-Classification Inference
Brown, Jason, Nguyen, Andy and Raj, Nawin. 2025. "Effect of Camera Choice on Image-Classification Inference." Applied Sciences. 15 (1). https://doi.org/10.3390/app15010246Article
STI/HIV Risk Prediction Model Development-A Novel Use of Public Data To Forecast STIs/HIV Risk For Men Who Have Sex With Men
Ji, Xiaopeng, Tang, Zhaohui, Osborne, Sonya R., Nguyen, Thi Phuoc Van, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2025. "STI/HIV Risk Prediction Model Development-A Novel Use of Public Data To Forecast STIs/HIV Risk For Men Who Have Sex With Men." Frontiers in Public Health. 12. https://doi.org/10.3389/fpubh.2024.1511689Article
SFFL: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions
Zhang, Jiale, Li, Ye, Wu, Di, Zhao, Yanchao and Palaiahnakote, Shivakumara. 2025. "SFFL: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions." Expert Systems with Applications. 269. https://doi.org/10.1016/j.eswa.2025.126418Article
Enhanced question understanding for multi-type legal question answering
Yin, Yu, Li, Lin, Xie, Shugui, Tao, Xiaohui and Zhang, Jianwei. 2025. "Enhanced question understanding for multi-type legal question answering ." CCF Transactions on Pervasive Computing and Interaction. 7 (1), pp. 15-29. https://doi.org/10.1007/s42486-024-00175-8Article
Sleep of Nurses: A Comprehensive Scoping Review
Matricciani, Lisa, Clarke, Jarrod, Wiley, Shelley, Williams, Amelia, Baljak, Gabriele Raine, Graham, Kristin, Gum, Lyn, Rogers, Michelle, Howland, Kirstie, Stewart, Kiriaki, Ruf, Hayley, Marnie, Casey, Visvanathan, Vickneswari, Singh, Ben, Banks, Siobhan, Kelly, Michelle A. and Peters, Micah D. J.. 2025. "Sleep of Nurses: A Comprehensive Scoping Review." Journal of Advanced Nursing. 81 (5), pp. 2333-2344. https://doi.org/10.1111/jan.16603Article
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
Ali, Mumtaz, Nayahi, Jesu Vedha, Abdi, Erfan, Ghorbani, Mohammad Ali, Mohajeri, Farzan, Farooque, Aitazaz A. and Alamery, Salman. 2025. "Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory ." Ecological Informatics. 85. https://doi.org/10.1016/j.ecoinf.2025.102995Article
Orchestrating Digital Technologies with Incumbent Enterprise Systems for Attaining Innovation
Lokuge, Sachithra, Sedera, Darshana, Grover, Varun and Sarker, Suprateek. 2025. "Orchestrating Digital Technologies with Incumbent Enterprise Systems for Attaining Innovation." Information and Management. 62 (1). https://doi.org/10.1016/j.im.2024.104066Article
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
Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts
Ghimire, Sujan, AL-Musaylh, Mohanad S., Nguyen-Huy, Thong, Deo, Ravinesh C., Acharya, Rajendra, Casillas-Perez, David, Yaseen, Zaher Mundher and Salcedo-sanz, Sancho. 2025. "Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts." Applied Energy. 378 (Part A). https://doi.org/10.1016/j.apenergy.2024.124763Article
Marketing agility during deep uncertainty using a sensemaking perspective: the performance influence of digitization and government intervention in retail healthcare
Eckstein, Gary, Shrestha, Anup and Russo, Fiona. 2025. "Marketing agility during deep uncertainty using a sensemaking perspective: the performance influence of digitization and government intervention in retail healthcare." Asia Pacific Journal of Marketing and Logistics. 37 (6), pp. 1608-1626. https://doi.org/10.1108/APJML-07-2024-0991Article
Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs
Yan, Cheng, Zhao, Feng, Tao, Xiaohui and Zhu, Xiaofeng. 2025. "Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs." IEEE Transactions on Big Data. 11 (3), pp. 1321-1333. https://doi.org/10.1109/TBDATA.2024.3453749Article
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities
Wang, Shuang, Zhang, He, Sheng, Quan Z., Li, Xiaoping, Sun, Zhu, Cai, Taotao, Zhang, Wei Emma, Yang, Jian and Gao, Qing. 2025. "A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities." IEEE Transactions on Big Data. 11 (2), pp. 314-332. https://doi.org/10.1109/TBDATA.2024.3423677Article
Technology adoption in the academic community: a multi-perspective study
Prentice, Catherine, Sengel, Ümit and Çevrimkaya, Mustafa. 2025. "Technology adoption in the academic community: a multi-perspective study." Anatolia: an international journal of tourism and hospitality research. 36 (2), pp. 238-251. https://doi.org/10.1080/13032917.2024.2399553Article
Unpacking service failures in artificial intelligence: future research directions
Chopra, Ritika, Bhardwaj, Seema, Thaichon, Park and Nair, Kiran. 2025. "Unpacking service failures in artificial intelligence: future research directions." Asia Pacific Journal of Marketing and Logistics. 37 (2), pp. 349-364. https://doi.org/10.1108/APJML-03-2024-0393Article
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.. 2025. "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. 22 (7), pp. 5309-5326. https://doi.org/10.1007/s13762-024-05944-7Article
Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation
Yang, Gaoming, Ding, Yifeng, Fang, Xianjin, Zhang, Ji and Chu, Yan. 2025. "Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation." The Visual Computer. 41 (2), pp. 1251-1271. https://doi.org/10.1007/s00371-024-03414-2Article
Integrating Artificial Intelligence and Customer Experience
Chen, Ying and Prentice, Catherine. 2025. "Integrating Artificial Intelligence and Customer Experience." Australasian Marketing Journal. 33 (2), pp. 141-153. https://doi.org/10.1177/14413582241252904Article
AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models
Aydin, Mehmet, Barua, Prabal Datta, Chadalavada, Sreenivasulu, Dogan, Sengul, Tuncer, Turker, Chakraborty, Subrata and Acharya, Rajendra U.. 2025. "AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models." Multimedia Tools and Applications. 84 (4), pp. 1821-1843. https://doi.org/10.1007/s11042-024-19163-2Article