46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Predicting non-mixing river flow using data-driven approaches: A case study in the Menindee region in Australia
Briceno Medina (Student), L., Nguyen, D., Joehnk, K., Deo, R., Ali, M., Prasad, S.S. and Downs, N.. 2026. "Predicting non-mixing river flow using data-driven approaches: A case study in the Menindee region in Australia." Science of the Total Environment. 1020. https://doi.org/https://doi.org/10.1016/j.scitotenv.2026.181541Article
Yes, GenAI can make academic writing easier without making us less scholarly
Brownlie, Nicole. 2026. "Yes, GenAI can make academic writing easier without making us less scholarly." Times Higher Education (THE).Magazine
Reflection on Community-Diversified Influence Maximization in Social Networks
Li, Jianxin, Cai, Taotao, Ke, Deng, Sellis, Timos and Xia, Feng. 2026. "Reflection on Community-Diversified Influence Maximization in Social Networks." Information Systems. 136. https://doi.org/10.1016/j.is.2025.102630Notes or commentaries
eBPF-Guard: a detection method for container escape via multi-level monitoring and enhanced analysis model
Li, Xiaotang, Chen, Zhide, Yang, Wencheng, Yang, Xuechao, Luo, Junwei and Yang, Xu. 2026. "eBPF-Guard: a detection method for container escape via multi-level monitoring and enhanced analysis model." Empirical Software Engineering: an international journal. 31 (3). https://doi.org/10.1007/s10664-025-10784-1Article
Crop disease surveillance through integration of machine and deep learning in the face of climate change
Kaur, Avneet, Randhawa, Gurjit S, Farooque, Aitazaz A., Ali, Mumtaz, Singh, Harmanpreet, Al-Mughrabi, Khalil, Bell, Dave and Singh, Rajandeep. 2026. "Crop disease surveillance through integration of machine and deep learning in the face of climate change." Journal of Agriculture and Food Research. 26. https://doi.org/10.1016/j.jafr.2026.102733Article
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
A reliable deep ensemble hybrid model for urban air quality health index forecasting in maritime Canada
Jamei, Mehdi, Randhawa, Gurjit S., Ali, Mumtaz, Karbasi, Masoud, Olumegbon, Ismail, Cheema, Saad Javed, Esau, Travis J., Zaman, Qamar U. and Farooque, Aitazaz A.. 2026. "A reliable deep ensemble hybrid model for urban air quality health index forecasting in maritime Canada." Environmental Modelling and Software. 197. https://doi.org/10.1016/j.envsoft.2025.106837Article
Utilizing soil characteristics and hybrid machine learning for interpretable potato yield prediction: A study with satin-bowerbird optimization and deep neural network
Karbasi, Masoud, Randhawa, Gurjit S., Farooque, Aitazaz A., Ali, Mumtaz, Jamei, Mehdi, Khosravi, Khabat, Afzaal, Hassan, Malik, Anurag and Zaman, Qamar U.. 2026. "Utilizing soil characteristics and hybrid machine learning for interpretable potato yield prediction: A study with satin-bowerbird optimization and deep neural network." Field Crops Research. 338. https://doi.org/10.1016/j.fcr.2025.110311Article
A robust artificial intelligence informed over complete rational dilation wavelet transform technique coupled with deep learning for long-term rainfall prediction
Diykh, Mohammed Mohammed, Ali, Mumtaz, Farooque, Aitazaz Ahsan, Aldhafeeri, Anwar Ali, Jamei, Mehdi Mehdi Mehdi and Labban, Abdulhaleem. 2026. "A robust artificial intelligence informed over complete rational dilation wavelet transform technique coupled with deep learning for long-term rainfall prediction." Engineering Applications of Artificial Intelligence. 165 (Part B). https://doi.org/10.1016/j.engappai.2025.113426Article
Development of neuromorphic event-based imaging spectroscopy for hypersonic flight observation
Sopek, Tamara, Zander, Fabian, Birch, Byrenn and Buttsworth, David. 2026. "Development of neuromorphic event-based imaging spectroscopy for hypersonic flight observation." Aerospace Science and Technology. 168 (Part G). https://doi.org/10.1016/j.ast.2025.111160Article
Progress and Future Trends of E. coli Removal from Water Environment Sources using Antibacterial Activity of Photocatalytic Coated-Surfaces: A Comprehensive Review
Seifi, Akram, Riahi‑Madvar, Hossien and Ali, Mumtaz. 2026. "Progress and Future Trends of E. coli Removal from Water Environment Sources using Antibacterial Activity of Photocatalytic Coated-Surfaces: A Comprehensive Review." Water, Air and Soil Pollution: an international journal of environmental pollution. 237 (2). https://doi.org/10.1007/s11270-025-08734-0Article
Open set recognition of radar specific emitter based on adversarial reciprocal point learning
Zhang, Wenxu, An, Lin, Yang, Wencheng, Zhao, Zhongkai and Liu, Feiran. 2026. "Open set recognition of radar specific emitter based on adversarial reciprocal point learning." Signal Processing. 238. https://doi.org/10.1016/j.sigpro.2025.110137Article
ECT-DLM: Deep Learning Based Empirical Curvelet Transform Approach for Thoracic Disease Diagnosis from X-RAY Images
Alkhafaji, Sarmad K. D., Abdulla, Shahab, Marhoon, Haydar Abdulameer, Diykh, Mohammed, Majed, Mustafa Ali, Sadiq, Jafar, Saleh, Ali Aqeel, Sahi, Aqeel and Alabdally, Hussein. 2026. "ECT-DLM: Deep Learning Based Empirical Curvelet Transform Approach for Thoracic Disease Diagnosis from X-RAY Images ." 10th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2025). New York, United States 23 - 24 May 2025 United States. Springer. https://doi.org/10.1007/978-981-95-1357-4_4Paper
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
Advanced Deep Learning for Speech Emotion Recognition: Enabling Emotion-aware Human-Machine Interaction
Rajapakshe, Thejan Jayaneetha. 2025. Advanced Deep Learning for Speech Emotion Recognition: Enabling Emotion-aware Human-Machine Interaction. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/10254xPhD by Publication
The Chance Set-Up on Pattern Discovery
Elnour, Ammar, Yang, Wencheng and Li, Yan. 2025. "The Chance Set-Up on Pattern Discovery." IEEE Open Journal of the Computer Society. 6, pp. 1741-1751. https://doi.org/10.1109/OJCS.2025.3623301Article
A Dense Pyramid Convolutional Neural Network for MRI Brain Tumor Segmentation
Xiong, Wei, Song, Haina, Xie, Honggang and Li, Yan. 2025. "A Dense Pyramid Convolutional Neural Network for MRI Brain Tumor Segmentation." Journal of Supercomputing. 81. https://doi.org/10.1007/s11227-025-07805-7Article
KGEES: An Energy Saving System with Location Privacy Preservation in Multi-Access Edge Computing
Wang, Ziqi, Xia, Xiaoyu, Khalil, Ibrahim, Liwang, Minghui, Xu, Xiaolong, Yi, Xun, Li, Yan and Xue, Minhui. 2025. "KGEES: An Energy Saving System with Location Privacy Preservation in Multi-Access Edge Computing." IEEE Transactions on Dependable and Secure Computing. https://doi.org/10.1109/TDSC.2025.3641177Article
The Influence Maximization in Complex Networks: Significant Trends, Leading Contributors, and Prospective Directions
Abbas, Elaf Adel, Alubady, Raaid, Sahi, Aqeel, Diykh, Mohammed and Abdulla, Shahab. 2025. "The Influence Maximization in Complex Networks: Significant Trends, Leading Contributors, and Prospective Directions." Complexity. 2025 (1). https://doi.org/10.1155/cplx/7605463Article
Enhancing credit card fraud detection with a stacking-based hybrid machine learning approach
Btoush, Eyad Abdel Latif Marazqah, Zhou, Xujuan, Gururajan, Raj, Chan, Ka Ching and Alsodi, Omar. 2025. "Enhancing credit card fraud detection with a stacking-based hybrid machine learning approach." PeerJ Computer Science. 11. https://doi.org/10.7717/peerj-cs.3007Article
LG-Umer: UNet-like Network Integrate Local-Global Feature with Novel Attention for Road Extraction from Remote Sensing Images
Niu, Penghui, Cai, Taotao, Zhang, Yajuan, Zhang, Ping, Xu, Wenjia, Gu, Junhua and Han, Jungong. 2025. "LG-Umer: UNet-like Network Integrate Local-Global Feature with Novel Attention for Road Extraction from Remote Sensing Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18, pp. 21755-21768. https://doi.org/10.1109/JSTARS.2025.3573735Article
AI-generated content in cross-domain applications: Research trends, challenges and propositions
Li, Jianxin, Qu, Liang, Cai, Taotao, Zhao, Zhixue, Hasan, Nur Al Hasan, Krishna, Aneesh, Kong, Xiangjie, Macau, Flavio Romero, Chakraborty, Tanmoy, Deroy, Aniket, Lin, Binshan, Blackmore, Karen, Noman, Nasimul, Cheng, Jingxian, Cui, Ningning and Xu, Jianliang. 2025. "AI-generated content in cross-domain applications: Research trends, challenges and propositions." Knowledge-Based Systems. 330 (Part B). https://doi.org/10.1016/j.knosys.2025.114634Article
Personalized Short-Term and Periodic Long-Term Preferences Modeling With Contrastive Learning for Next POI Recommendation
Li, Mo, Zhao, Zhaosong, Ma, Mingyang, Ding, Linlin and Cai, Taotao. 2025. "Personalized Short-Term and Periodic Long-Term Preferences Modeling With Contrastive Learning for Next POI Recommendation." IEEE Transactions on Computational Social Systems. https://doi.org/10.1109/TCSS.2025.3623134Article
A Deep Hybrid CNNDBiLSTM Model for Short-Term Wind Speed Forecasting in Wind-Rich Regions of Tasmania, Australia
Neupane, Ananta, Raj, Nawin and Deo, Ravinesh. 2025. "A Deep Hybrid CNNDBiLSTM Model for Short-Term Wind Speed Forecasting in Wind-Rich Regions of Tasmania, Australia." Energies. 18 (24). https://doi.org/10.3390/en18246390Article
Representation learning with parameterised quantum circuits for advancing speech emotion recognition
Rajapakshe, Thejan, Rana, Rajib, Riaz, Farina, Khalifa, Sara and Schuller, Björn W.. 2025. "Representation learning with parameterised quantum circuits for advancing speech emotion recognition." Scientific Reports. 15. https://doi.org/10.1038/s41598-025-27871-4Article
Redefining integrity in the context of generative artificial intelligence (GenAI) in higher education: What are students saying?
Slade, Christine, Matthews, Kelly, Chung, Jennifer, Liang, Yifei and Oberg, Glenys. 2025. "Redefining integrity in the context of generative artificial intelligence (GenAI) in higher education: What are students saying?" 47th Higher Education Research and Development Society of Australasia Annual Conference(HERDSA 2025). Perth, Australia 07 - 10 Jul 2025Presentation
Time, emotions and moral judgements: how university students position GenAI within their study
Bearman, Margaret, Fawns, T., Corbin, T., Henderson, M., Liang, Y., Oberg, G., Walton, J. and Matthews, K. E.. 2025. "Time, emotions and moral judgements: how university students position GenAI within their study." Higher Education Research and Development. https://doi.org/10.1080/07294360.2025.2580616Article
Small Hydropower Suitability of Vietnam Using Multi-Criteria Decision Making Approach
Ghosh, Surajit, Kour, Sneha, Rajakaruna, Punsisi, Holmatov, Bunyod, Banerjee, Bikram and Chon, Le Trung. 2025. "Small Hydropower Suitability of Vietnam Using Multi-Criteria Decision Making Approach." IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium. Brisbane, Australia 03 - 08 Aug 2025 Australia. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IGARSS55030.2025.11314015Paper
Attentive Bidirectional Long Short-Term Memory Model to Predict the Remaining Useful Life of Aircraft Engines
Seixas Leal, Andreia, Deo, Ravinesh C., Prasad, Salvin Sanjesh, De Castro Santos, Luis Carlos, Ali, Mumtaz and Berton, Lilian. 2025. "Attentive Bidirectional Long Short-Term Memory Model to Predict the Remaining Useful Life of Aircraft Engines." IEEE Access. 13, pp. 217285-217297. https://doi.org/10.1109/ACCESS.2025.3648287Article
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
Loss of Consciousness Early Warning Modelling with EEG Signals
Fish, Les JN F, Li, Tianning, Li, Yan and Tao, Xiaohui. 2025. "Loss of Consciousness Early Warning Modelling with EEG Signals." ACM Transactions on Computing for Healthcare. https://doi.org/10.1145/3779215Article
Cross-technology cloud offloading model
Al-Ahmad, Ahmad Salah, Shrestha, Anup, Ali, Omar and Kahtan, Hasan. 2025. "Cross-technology cloud offloading model." Journal of Cloud Computing. 14. https://doi.org/10.1186/s13677-025-00819-9Article
A Comparative Analysis of Defense Mechanisms Against Model Inversion Attacks on Tabular Data
Vijayan, Neethu, Gururajan, Raj and Chan, Ka Ching. 2025. "A Comparative Analysis of Defense Mechanisms Against Model Inversion Attacks on Tabular Data." Journal of Cybersecurity and Privacy. 5 (4). https://doi.org/10.3390/jcp5040080Article
Deep Graph Clustering With Triple Fusion Mechanism for Community Detection
Ma, Yuanchi, Shi, Kaize, Peng, Xueping, He, Hui, Zhang, Peng, Liu, Jinyan, Lei, Zhongxiang and Niu, Zhendong. 2025. "Deep Graph Clustering With Triple Fusion Mechanism for Community Detection." IEEE Transactions on Computational Social Systems. 12 (4), pp. 1743-1758. https://doi.org/10.1109/TCSS.2024.3478351Article
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
Quantum deep learning in neuroinformatics: a systematic review
Orka, Nabil Anan, Awal, Md Abdul, Liò, Pietro, Pogrebna, Ganna, Ross, Allen G and Moni, Mohammad Ali. 2025. "Quantum deep learning in neuroinformatics: a systematic review." Artificial Intelligence Review: an international survey and tutorial journal. 58 (5). https://doi.org/10.1007/s10462-025-11136-7Article
HepNet: Deep neural network for classification of early-stage hepatic steatosis using microwave signals
Hasan, Sazid, Brankovic, Aida, Awal, Md Abdul, Rezaeieh, Sasan Ahdi, Keating, Shelley E., Abbosh, Amin M. and Zamani, Ali. 2025. "HepNet: Deep neural network for classification of early-stage hepatic steatosis using microwave signals." IEEE Journal of Biomedical and Health Informatics. 29 (1), pp. 142-151. https://doi.org/10.1109/JBHI.2024.3489626Article
Optimized CNN framework for malaria detection using Otsu thresholding−based image segmentation
Singh, Retinderdeep, Prabha, Chander and Abdulla, Shahab. 2025. "Optimized CNN framework for malaria detection using Otsu thresholding−based image segmentation ." Scientific Reports. 15 (17/11/2025). https://doi.org/10.1038/s41598-025-23961-5Article
Multi-intersection traffic signal control based on dynamic spatiotemporal memory enhanced learning
Ye, Bao-Lin, Wu, Peng, Li, Lingxi, Wu, Weimin, Song, Bo and Zhang, Xianchao. 2025. "Multi-intersection traffic signal control based on dynamic spatiotemporal memory enhanced learning ." Control Engineering Practice. 165. https://doi.org/10.1016/j.conengprac.2025.106606Article