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
Exploring Knowledge Management Enablers Towards Attaining Sustainability Goals in Vietnamese Family Businesses
Pham, Chi Minh, Lokuge, Sachithra, Thuy, Nga Thi Thuy, My Le, Hang Ngoc and Ho, Dung Quoc. 2025. "Exploring Knowledge Management Enablers Towards Attaining Sustainability Goals in Vietnamese Family Businesses." Business Strategy and the Environment. https://doi.org/10.1002/bse.4288Article
A Global Perspective of Rural Innovation and Entrepreneurship in the Digital Era: A Panel Report
Lokuge, Sachithra, Sedera, Darshana, Ahuja, Suchit, Kathuria, Abhishek and Agyapong, Daniel. 2025. "A Global Perspective of Rural Innovation and Entrepreneurship in the Digital Era: A Panel Report." Communications of the Association for Information Systems. 56 (1). https://doi.org/10.17705/1CAIS.05644Article
Leveraging Advanced Data-Driven Approaches to Forecast Daily Floods Based on Rainfall for Proactive Prevention Strategies in Saudi Arabia
Aldhafiri, Anwar Ali, Ali, Mumtaz and Labban, Abdulhaleem H.. 2025. "Leveraging Advanced Data-Driven Approaches to Forecast Daily Floods Based on Rainfall for Proactive Prevention Strategies in Saudi Arabia." Water. 17 (11). https://doi.org/10.3390/w17111699Article
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
Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals
Tasci, Gulay, Barua, Prabal Datta, Tanko, Dahiru, Keles, Tugce, Tas, Suat, Tuncer, Ilknur, Kaya, Suheda, Yildirim, Kubra, Talu, Yunus, Tasci, Burak, Ozsoy, Filiz, Gonen, Nida, Tasci, Irem, Dogan, Sengul and Tuncer, Turker. 2025. "Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals." Diagnostics. 15 (2). https://doi.org/10.3390/diagnostics15020154Article
Multimodal fusion framework based on knowledge graph for personalized recommendation
Wang, Jingjing, Xie, Haoran, Zhang, Siyu, Qin, S. Joe, Tao, Xiaohui, Wang, Fu Lee and Xu, Xiaoliang. 2025. "Multimodal fusion framework based on knowledge graph for personalized recommendation." Expert Systems with Applications. 268. https://doi.org/10.1016/j.eswa.2024.126308Article
EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals
Acharya, Madhav, Deo, Ravinesh C, Barua, Prabal Datta, Devi, Aruna and Tao, Xiaohui. 2025. "EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals." Computer Methods and Programs in Biomedicine. 262. https://doi.org/10.1016/j.cmpb.2025.108652Article
Application of transfer learning for biomedical signals: A comprehensive review of the last decade (2014–2024)
Jafari, Mahboobeh, Tao, Xiaohui, Barua, Prabal, Tan, Ru-San and Acharya, U.Rajendra. 2025. "Application of transfer learning for biomedical signals: A comprehensive review of the last decade (2014–2024)." Information Fusion. 118. https://doi.org/10.1016/j.inffus.2025.102982Article
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
HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing
Job, Simi, Tao, Xiaohui, Cai, Taotao, Li, Lin, Xie, Haoran, Xu, Cai and Yong, Jianming. 2025. "HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing." Knowledge-Based Systems. 311. https://doi.org/10.1016/j.knosys.2025.113094Article
Analysis and Multi-objective Protection of Public Medical Datasets from Privacy and Utility Perspectives
Jahan, Samsad, Ge, Yong‑Feng, Kabir, Enamul and Wang, Kate. 2025. "Analysis and Multi-objective Protection of Public Medical Datasets from Privacy and Utility Perspectives." Data Science and Engineering. https://doi.org/10.1007/s41019-025-00283-0Article
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
CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals
Ince, Ugur, Talu, Yunus, Duz, Aleyna, Tas, Suat, Tanko, Dahiru, Tasci, Irem, Dogan, Sengul, Hafeez-Baig, Abdul, Aydemir, Emrah and Tuncer, Turker. 2025. "CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals." Diagnostics. 15 (3). https://doi.org/10.3390/diagnostics15030363Article
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