46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Advancing DoA assessment through federated learning: A one-shot pseudo data approach
Schmierer, Thomas, Li, Tianning, Wu, Di and Li, Yan. 2025. "Advancing DoA assessment through federated learning: A one-shot pseudo data approach ." Neurocomputing. 634. https://doi.org/10.1016/j.neucom.2025.129812Article
Dr Abdul Hafeez-Baig
Hafeez-Baig, A.. Dr Abdul Hafeez-Baig.Portfolio
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
A Zero-Trust Multi-Processor Reporter-Verifier Design of Edge Devices for Firmware Authenticity in Internet of Things and Blockchain Applications
Maiti, Ananda and Kist, Alexander A. K.. 2025. "A Zero-Trust Multi-Processor Reporter-Verifier Design of Edge Devices for Firmware Authenticity in Internet of Things and Blockchain Applications." Journal of Sensor and Actuator Networks. 14 (2). https://doi.org/10.3390/jsan14020035Article
The Association Among Gender Diversity, Board Characteristics and Firms Performance
Masa’deh, Ra’ed, Samara, Husni, Abughaush, Suhaila and Almanadheh, Yazan. 2025. "The Association Among Gender Diversity, Board Characteristics and Firms Performance ." Hamdan, Allam (ed.) Achieving Sustainable Business through AI, Technology Education and Computer Science. Switzerland . Springer. pp. 711-734Edited book (chapter)
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
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
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/https://link.springer.com/article/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
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
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
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
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
A Blueprint for Domestic and Family Violence Education in Social Work Through Virtual Reality Design
Schaffer, Krystal L., Rivory, Joshua, Martin, Neil I., Lawrence, Jill E. and Bryce, India R.. 2025. "A Blueprint for Domestic and Family Violence Education in Social Work Through Virtual Reality Design." Advances in Social Work and Welfare Education. 25 (2).Article
Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey
Rao, Bosen, Zhang, Jiale, Wu, Di, Zhu, Chengcheng, Sun, Xiaobing and Chen, Bing. 2025. "Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey." IEEE Transactions on Artificial Intelligence. 6 (2), pp. 333-353. https://doi.org/10.1109/TAI.2024.3363670Article
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
An Exhilarating Evolution
Hargreaves, Wendy. 2024. "An Exhilarating Evolution." Barber, Ash, Fatayer, Mais, McLennan, Rani, Luetchford, Alice, McQuillen, Sarah and Williamson, Angie (ed.) Open Education Down UndOER: Australasian Case Studies. Australia. Australasian Society for Computers in Learning in Tertiary Education (ASCILITE). pp. 63-70Edited book (chapter)
Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight
Wu, Xiaohua, Li, Lin, Tao, Xiaohui and Li, Yuefeng. 2024. "Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight." 20th International Conference on Advanced Data Mining Applications (ADMA 2024). Sydney, Australia 03 - 05 Dec 2025 Singapore. Springer. https://doi.org/10.1007/978-981-96-0811-9_13Paper
AI-enhanced model for detecting cybersecurity threats on social media platforms
Alsodi, Omar. 2024. AI-enhanced model for detecting cybersecurity threats on social media platforms. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zwq69PhD Thesis
The Copyright Law of Spatial Data
Kariyawasam, Kanchana, Palliyaarachchi, Rangika and Campbell, Glenn. 2024. The Copyright Law of Spatial Data. United Kingdom. Routledge.Authored book
Full Text Seeker: Using Microsoft Copilot to create a tool to assist with systematic reviews
Bruce, Tracy. 2024. "Full Text Seeker: Using Microsoft Copilot to create a tool to assist with systematic reviews." eResearch Australasia 2024. Melbourne, Australia 28 Oct - 01 Nov 2024 https://doi.org/10.6084/m9.figshare.25273096Presentation
Towards Design Principles for Governance of Complex Multisourcing in IT services ecosystem
Krishna Pillai Sulochana, Biju, Shrestha, Anup and Russo, Fiona. 2024. "Towards Design Principles for Governance of Complex Multisourcing in IT services ecosystem." Australasian Conference on Information Systems (ACIS 2024). Canberra, Australia 04 - 06 Dec 2024 Australia. AIS Electronic Library.Paper