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
FedVGM: Enhancing Federated Learning Performance on Multi-Dataset Medical Images with XAI
Abdulla, S., Tahosin, M.S., Sheakh, M.A., Alam, M.J., Hassan, M., Bairagi, A.K., Samah, A. and El-Shafai, W.. 2025. "FedVGM: Enhancing Federated Learning Performance on Multi-Dataset Medical Images with XAI." IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/JBHI.2025.3600361Article
eXplainable expert systems for potato tuber yield prediction in the Maritime provinces of Canada
Jamei, M., Farooque, A., Ali, M., Karbasi, M., Afzaal, H., Cheema, S.J., Zaman, Q.U., Woon, K.S. and Sheridan, P.. 2025. "eXplainable expert systems for potato tuber yield prediction in the Maritime provinces of Canada." Computers and Electronics in Agriculture. 238. https://doi.org/https://doi.org/10.1016/j.compag.2025.110831Article
The Potential of Virtual Reality-Based Multisensory Interventions in Enhancing Cognitive Function in Mild Cognitive Impairment: A Systematic Review
Mehrinejad Khotbehsara, Maryam, Soar, Jeffrey, Lokuge, Sachithra, Khotbehsara, Elham Mehrinejad and Ip, Wing Keung. 2025. "The Potential of Virtual Reality-Based Multisensory Interventions in Enhancing Cognitive Function in Mild Cognitive Impairment: A Systematic Review." Journal of Clinical Medicine. 14 (15). https://doi.org/10.3390/jcm14155475Article
Unlocking the Future of Swallowing Diagnostics: How Artificial Intelligence is Changing the Landscape for Speech Pathology
Girardi, Anna, Cardell, Elizabeth and Bird, Stephen. 2025. "Unlocking the Future of Swallowing Diagnostics: How Artificial Intelligence is Changing the Landscape for Speech Pathology ." 16th National Allied Health Conference . Adelaide, Australia 11 - 14 Aug 2025 Australia.Other
DMPat-based SOXFE: investigations of the violence detection using EEG signals
Yildirim, Kubra, Keles, Tugce, Dogan, Sengul, Tuncer, Turker, Tasci, Irem, Hafeez-Baig, Abdul, Barua, Prabal Datta and Acharya, U. R.. 2025. "DMPat-based SOXFE: investigations of the violence detection using EEG signals ." Cognitive Neurodynamics. 19. https://doi.org/10.1007/s11571-025-10266-6Article
Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024)
Yaman, Suleyman, Aslan, Ozkan, Güler, Hasan, Sengur, Abdulkadir, Hafeez-Baig, Abdul, Tan, Ru-San, Deo, Ravinesh C, Barua, Prabal Datta and Acharya, U. Rajendra. 2025. "Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024)." Computer Methods and Programs in Biomedicine. 268. https://doi.org/doi:10.1016/j.cmpb.2025.108858Article
Deep Learning for Marine Vehicles Parking Availability: A ResNet50-Based Deep Feature Engineering Model
Gurturk, Mert, Cambay, Veysel Yusuf, Hafeez-Baig, Abdul, Hajiyeva, Rena, Dogan, Sengul and Tuncer, Turker. 2025. "Deep Learning for Marine Vehicles Parking Availability: A ResNet50-Based Deep Feature Engineering Model ." Traitement du signal: signal, image, parole. 42 (2), pp. 663-674. https://doi.org/10.18280/ts.420206Article
Multi-step ahead significant wave height forecasting using global and local view graph representation based on GRU model
Diykh, Mohammed, Ali, Mumtaz, Jamei, Mehdi, Prasad, Ramendra, Labban, Abdulhaleem H., Abdulla, Shahab, Singh, Niharika and Farooque, Aitazaz Ahsan. 2025. "Multi-step ahead significant wave height forecasting using global and local view graph representation based on GRU model." Ocean Engineering. 340 (Part 2). https://doi.org/10.1016/j.oceaneng.2025.122314Article
Uncertainty assessment based on data decomposition and Boruta-driven extreme gradient boosting to predict spatiotemporal urban air dust heavy metal index
Seifi, Akram, Soltani-Gerdefaramarzi, Somayeh and Ali, Mumtaz. 2025. "Uncertainty assessment based on data decomposition and Boruta-driven extreme gradient boosting to predict spatiotemporal urban air dust heavy metal index." Atmospheric Pollution Research. 16 (11). https://doi.org/10.1016/j.apr.2025.102654Article
Toward the Mass Adoption of Blockchain: Cross-Industry Insights from DeFi, Gaming, and Data Analytics
Mohammed Abdul, Shezon Saleem, Shrestha, Anup and Yong, Jianming. 2025. "Toward the Mass Adoption of Blockchain: Cross-Industry Insights from DeFi, Gaming, and Data Analytics." Big Data and Cognitive Computing. 9 (7). https://doi.org/10.3390/bdcc9070178Article
Designing advanced feature selection and uncertainty quantification-based deep learning approach to predict chlorophyll-a and water bloom risks in dam reservoir
Seifi, Akram, Madvar, Hossien Riahi, Davarpanah, Rouhollah, Ali, Mumtaz and Mashat, Abdul-Wahab. 2025. "Designing advanced feature selection and uncertainty quantification-based deep learning approach to predict chlorophyll-a and water bloom risks in dam reservoir." Journal of Water Process Engineering. 77. https://doi.org/10.1016/j.jwpe.2025.108341Article
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing
Zhao, Zecheng, Chen, Zhi, Huang, Zi, Sadiq, Shazia and Chen, Tong. 2025. "Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing." 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '25). Padua, Italy 13 - 18 Jul 2025 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3726302.3729936Paper
DoA Assessment Based on EEG DFA and Entropy Features
Chen, Xing, Song, Bo and Wen, Peng. 2025. "DoA Assessment Based on EEG DFA and Entropy Features." Brain Informatics 2024. Bangkok Singapore. Springer. https://doi.org/10.1007/978-981-96-3297-8_6Paper
A Trajectory Planning and Tracking Method Based on Deep Hierarchical Reinforcement Learning
Zhang, Jiajie, Ye, Bao-Lin, Wang, Xin, Li, Lingxi and Song, Bo. 2025. "A Trajectory Planning and Tracking Method Based on Deep Hierarchical Reinforcement Learning." Journal of Intelligent and Connected Vehicles. 8 (2). https://doi.org/10.26599/JICV.2025.9210056Article
Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation
Yu, Zhiqi, Liao, Zhichao, Li, Jingjing, Chen, Zhi and Zhu, Lei. 2025. "Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation." 39th AAAI Conference on Artificial Intelligence (AAAI 2025). Philadelphia, Pennsylvania, United States 25 Feb - 04 Mar 2025 United States. Association for the Advancement of Artificial Intelligence (AAAI). https://doi.org/10.1609/aaai.v39i21.34380Paper
AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran, Dai, Hong-Ning, Zhao, Feng and Yong, Jianming. 2025. "AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts." Brain Informatics. 12 (1). https://doi.org/10.1186/s40708-025-00262-1Article
Spectrogram-based Deep Learning Approach for Anomaly Detection from Cough Sounds
Keles, Tugce, Dogan, Sengul, Hafeez-Baig, Abdul and Tuncer, Turker. 2025. "Spectrogram-based Deep Learning Approach for Anomaly Detection from Cough Sounds." International Journal of Information Technology and Computer Science (IJITCS). 17 (3), pp. 1-12. https://doi.org/10.5815/ijitcs.2025.03.01Article
MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns
Yaman, Suleyman, Güler, Hasan, Sengur, Abdulkadir, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2025. "MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns." Biomedical Signal Processing and Control. 110 (Part A). https://doi.org/10.1016/j.bspc.2025.108221Article
Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance
Job, Simi, Tao, Xiaohui, Cai, Taotao, Li, Lin, Sheng, Quan Z, Xie, Haoran and Yong, Jianming. 2025. "Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance." World Wide Web. 28 (3). https://doi.org/10.1007/s11280-025-01343-1Article
AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction
Chadalavada, Sreeni, Yaman, Suleyman, Sengur, Abdulkadir, Deo, Ravinesh C., Hafeez-Baig, Abdul, Kolbe-Alexander, Tracy, Sampathila, Niranjana and Acharya, U. Rajendra. 2025. "AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction." IEEE Access. 13, pp. 96261-96276. https://doi.org/10.1109/ACCESS.2025.3574722Article
Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification
Chadalavada, Sreeni, Yaman, Süleyman, Yaman, Suleyman, Sengur, Abdulkadi, Hafeez-Baig, Abdul, Tan, Ru-San, Barua, Prabal Datta, Deo, Ravinesh C., Kobayashi, Makiko and Acharya, U. Rajendra. 2025. "Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification." IEEE Access. 13, pp. 69500-69512. https://doi.org/10.1109/ACCESS.2025.3561593Article
MobileTurkerNeXt: investigating the detection of Bankart and SLAP lesions using magnetic resonance images
Gurger, Murat, Esmez, Omer, Key, Sefa, Hafeez-Baig, Abdul, Dogan, Sengul and Tuncer, Turker. 2025. "MobileTurkerNeXt: investigating the detection of Bankart and SLAP lesions using magnetic resonance images." Radiological Physics and Technology. https://doi.org/10.1007/s12194-025-00918-xArticle
StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images
Ekingen, Evren, Yildirim, Ferhat, Bayar, Ozgur, Akbal, Erhan, Sercek, Ilknur, Hafeez-Baig, Abdul, Dogan, Sengul and Tuncer, Turker. 2025. "StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images." BMC Medical Imaging. 25 (1). https://doi.org/10.1186/s12880-025-01721-1Article
Enhancing Signal Processing Efficiency: A Novel Lossless Integer Compression Method (CIRB)
Farhat, Mohamad Khalil, Zhang, Ji, Tao, Xiaohui and Li, Tianning. 2025. "Enhancing Signal Processing Efficiency: A Novel Lossless Integer Compression Method (CIRB)." 2024 IEEE 17th International Conference on Signal Processing (ICSP). Suzhou, China 28 - 31 Oct 2024 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICSP62129.2024.10846506Paper
Unmasking Fake News: A Naïve Bayes Classifier Approach to Combat Misinformation
Sahi, Aqeel, Hayawi, Mustafa, Lafta, Raid, Abdulla, Shahab and Diykh, Mohammed. 2025. "Unmasking Fake News: A Naïve Bayes Classifier Approach to Combat Misinformation ." 4th International Conference on Innovations in Computing Research (ICR’25). London, United Kingdom 25 - 27 Aug 2025 Switzerland. Springer. https://doi.org/10.1007/978-3-031-95652-2_11Paper
Modeling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network Approach
Fard, Mojgan Hafezi, Petrova, Krassie, Kasabov, Nikola Kirilov and Wang, Grace Y.. 2025. "Modeling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network Approach." Big Data and Cognitive Computing. 9 (7). https://doi.org/10.3390/bdcc9070173Article
Advancing Alzheimer's Disease Detection: A Novel Convolutional Neural Network based framework Leveraging EEG Data and Segment Length Analysis
Tawhid, Md Nurul Ahad, Siuly, Siuly, Kabir, Enamul and Li, Yan. 2025. "Advancing Alzheimer's Disease Detection: A Novel Convolutional Neural Network based framework Leveraging EEG Data and Segment Length Analysis." Brain Informatics. 12. https://doi.org/10.1186/s40708-025-00260-3Article
Investigating Mobile Apps Post-Adoption Behaviour: A Grounded Theory Investigation
Lamichhane, Roshee, Ward, Philippa, Shrestha, Anup and Bhattacharjee, Biplab. 2025. "Investigating Mobile Apps Post-Adoption Behaviour: A Grounded Theory Investigation." International Journal of Human-Computer Interaction. https://doi.org/10.1080/10447318.2025.2518332Article
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. 39 (5), pp. 2203-2229. https://doi.org/10.1007/s00477-025-02964-8Article