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
Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models
Abdulla, Suha Zadain, Diykh, Mohammed, Abdulla, Shahab, Alabdally, Hussein and Sahi, Aqeel. 2025. "Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models ." 13th International Conference on Health Information Science (HIS 2024). Hong Kong, China 08 - 10 Dec 2024 Singapore. Springer. https://doi.org/10.1007/978-981-96-5597-7_25Paper
Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model
Abdulla, Shahab, Majeed, Amar S., Al-Khafaji, Ali Basim, Alsalman, Wesaam, Diykh, Mohammed, Sahi, Aqeel, Alabdally, Hussein and Khudhur, Khaleel Ali. 2025. "Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model." 13th International Conference on Health Information Science (HIS 2024). Hong Kong, China 08 - 10 Dec 2024 Singapore . Springer. https://doi.org/10.1007/978-981-96-5597-7_24Paper
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
The Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models
Riaz, Farina, Abdulla, Shahab, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C. and Hopkins, Susan. 2025. "The Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models ." Journal of Data Science and Intelligent Systems. https://doi.org/10.47852/bonviewJDSIS52024231Article
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
Quantifying error in fine-scale crop yield forecasts to guide data and algorithm improvements: case study of mango in Tamil Nadu, India
Kouadio, Louis, Kulanthaivel, Bhuvaneswari, Mai, Thanh, Nguyen-Huy, Thong, Wang, Qingxia (Jenny), Byrareddy, Vivekananda M., Mushtaq, Shahbaz, Senthil, Alagarswamy, Newlands, Nathaniel K. and Geethalakshmi, Vellingiri. 2025. "Quantifying error in fine-scale crop yield forecasts to guide data and algorithm improvements: case study of mango in Tamil Nadu, India." Computers and Electronics in Agriculture. 236. https://doi.org/10.1016/j.compag.2025.110450Article
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
Enhanced Polycystic Ovary Syndrome Diagnosis Model Leveraging a K-means Based Genetic Algorithm and Ensemble Approach
Faris, Najlaa, Sahi, Aqeel, Diykh, Mohammed, Abdulla, Shahab and Siuly, Siuly. 2025. "Enhanced Polycystic Ovary Syndrome Diagnosis Model Leveraging a K-means Based Genetic Algorithm and Ensemble Approach." Intelligence-Based Medicine. https://doi.org/10.1016/j.ibmed.2025.100253Article
Unravelling the metaverse matrix: Navigating privacy protection within modelling and simulation platforms
Georgiades, Eugenia and Birt, James. 2025. "Unravelling the metaverse matrix: Navigating privacy protection within modelling and simulation platforms ." Washington Journal of Law, Technology and Arts. 20 (2), pp. 103-138.Article
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)
Cyber Security in the Context of Cloud Computing: An Empirical Study of Australian SMEs
Nagahawatta, Ruwan, Warren, Matthew, Salzman, Scott and Lokuge, Sachithra. 2025. "Cyber Security in the Context of Cloud Computing: An Empirical Study of Australian SMEs." Gupta, Brij B. (ed.) Critical Phishing Defense Strategies and Digital Asset Protection. IGI Global.Edited book (chapter)
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
Cross-Domain Sequential Recommendation with Temporal Encoding and Projection-Based Learning
Chen, Lvying, Zhang, Ji, Zhang, Yuxi, Yu, Sujie and Li, Bohan. 2025. "Cross-Domain Sequential Recommendation with Temporal Encoding and Projection-Based Learning." 25th International Conferenc on Web Information Systems Engineering (WISE 2024). Doha, Qatar 02 - 05 Dec 2024 Singapore. Springer. https://doi.org/10.1007/978-981-96-0570-5_6Paper
Equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for Information Diffusion Prediction
Lu, Ye, Zhang, Ji, Yu, Ting and Yang, Gaoming. 2025. "Equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for Information Diffusion Prediction." 25th International Conferenc on Web Information Systems Engineering (WISE 2024). Doha, Qatar 02 - 05 Dec 2024 Singapore . Springer. https://doi.org/10.1007/978-981-96-0573-6_6Paper
Prenatal depression level prediction using ensemble based deep learning model
Gopalakrishnan, Abinaya, Zhou, Xujuan, Venkataraman, Revathi, Gururajan, Raj, Chan, Ka Ching, Zhu, Guohun and Higgins, Niall. 2025. "Prenatal depression level prediction using ensemble based deep learning model." International Journal of Cognitive Computing in Engineering. 6, pp. 267-279. https://doi.org/10.1016/j.ijcce.2024.12.002Article
Current and future roles of artificial intelligence in retinopathy of prematurity
Jafarizadeh, Ali, Maleki, Shadi Farabi, Pouya, Parnia, Sobhi, Navid, Abdollahi, Mirsaeed, Pedrammehr, Siamak, Lim, Chee Peng, Asadi, Houshyar, Alizadehsani, Roohallah, Tan, Ru-San, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2025. "Current and future roles of artificial intelligence in retinopathy of prematurity." Artificial Intelligence Review. 58 (6). https://doi.org/10.1007/s10462-025-11153-6Article
Achieving Excellence in Cyber Fraud Detection: A Hybrid ML+DL Ensemble Approach for Credit Cards
Btoush, Eyad, Zhou, Xujuan, Gururajan, Raj, Chan, Ka Ching and Alsodi, Omar. 2025. "Achieving Excellence in Cyber Fraud Detection: A Hybrid ML+DL Ensemble Approach for Credit Cards." Applied Sciences. 15 (3). https://doi.org/10.3390/app15031081Article
A novel uncertainty-aware liquid neural network for noise-resilient time series forecasting and classification
Akpinar, Muhammed Halil, Atila, Orhan, Sengur, Abdulkadir, Salvi, Massimo and Acharya, U.R.. 2025. "A novel uncertainty-aware liquid neural network for noise-resilient time series forecasting and classification." Chaos, Solitons and Fractals. 193. https://doi.org/10.1016/j.chaos.2025.116130Article
From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X
Alsodi, Omar, Zhou, Xujuan, Gururajan, Raj, Shrestha, Anup and Btoush, Eyad. 2025. "From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X." Applied Sciences. 15 (7). https://doi.org/10.3390/app15073898Article
MobileTransNeXt: Integrating CNN, transformer, and BiLSTM for image classification
Ye, Peishun, Lin, Jiyan, Kang, Yaming, Kaya, Tolga, Yildirim, Kubra, Hafeez Baig, Abdul, Aydemir, Emrah, Dogan, Sengul and Tuncer, Turker. 2025. "MobileTransNeXt: Integrating CNN, transformer, and BiLSTM for image classification." Alexandria Engineering Journal. 123, pp. 460-470. https://doi.org/10.1016/j.aej.2025.03.048Article
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
Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach
Ghimire, Sujan, Deo, Ravinesh C., Hopf, Konstantin, Liu, Hangyue, Casillas-Perez, David, Helwig, Andreas, Prasad, Salvin S., Perez-Aracil, Jorge, Barua, Prabal Datta and Salcedo-Sanz, Sancho. 2025. "Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach." Energy and AI. 20. https://doi.org/10.1016/j.egyai.2025.100492Article
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
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