46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Competency-Based Modular Higher Education: Key Features and Technological Integration
Hills, C., Baillie, J. and Kist, A.. "Competency-Based Modular Higher Education: Key Features and Technological Integration." expat’25 – 7th Experiment@ International Conference. HortaPaper
Adoption of sustainable practices by YMCA Southeast Queensland
Thomson, A., Mai, H., Ferdous, J., Gallegos-Rejas, V. and Doherty, S.. Adoption of sustainable practices by YMCA Southeast Queensland. The University of Queensland. Global Change Scholars Program Brisbane, Australia. https://doi.org/10.14264/c5ebe8dDiscussion paper
Natural enemy detection using machine vision for improved biological control of fall armyworm
McCarthy, A., Girling, R. and Miles, M.. "Natural enemy detection using machine vision for improved biological control of fall armyworm." Australian Summer Grains Conference 2025. Benowa, Australia 07 - 09 Jul 2025Presentation
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
Verticillium and Fusarium wilts: improving understanding of interactions with irrigation and nutrition, and monitoring with machine vision
Scheikowski, L., McCarthy, A. and Foley, J.. 2025. "Verticillium and Fusarium wilts: improving understanding of interactions with irrigation and nutrition, and monitoring with machine vision." ACDC Seminar Series.Presentation
Lessons from commercialisation of cotton sensing technology research
McCarthy, A., Maas, S., Grundy, D.P. and Long, D.. 2025. "Lessons from commercialisation of cotton sensing technology research." 2025 Australian Cotton Research Conference. Narrabri 23 - 25 Sep 2025 Narrabri, Australia.Presentation
Developing canopy temperature sensors with new multipixel technology
McCarthy, A.. 2025. Developing canopy temperature sensors with new multipixel technology. Toowoomba, Australia. University of Southern Queensland.Technical report
Automated sensing for improved integrated pest management of fall armyworm in summer broadacre crops
McCarthy, A., Girling, R. and Miles, M.. 2025. Automated sensing for improved integrated pest management of fall armyworm in summer broadacre crops. Toowoomba, Australia.Technical report
Digital public intelligence: Fuelling AI adoption across MSMEs in India
Iyer, Raghunathan. 2025. Digital public intelligence: Fuelling AI adoption across MSMEs in India. Doctorate other than PhD Doctor of Business Administration. University of Southern Queensland. https://doi.org/10.26192/zzywxDoctorate other than PhD
Security and Privacy concerns of Small & Medium Australian Accounting practices after adopting Cloud-based accounting packages.
Henricks, Mark. 2025. Security and Privacy concerns of Small & Medium Australian Accounting practices after adopting Cloud-based accounting packages. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/zzyw0Masters Thesis
Muti-band Morlet mutual information functional connectivity for classifying Alzheimer's disease and frontotemporal dementia with a deep learning technique
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2025. "Muti-band Morlet mutual information functional connectivity for classifying Alzheimer's disease and frontotemporal dementia with a deep learning technique." Computers in Biology and Medicine. 197 (Part A). https://doi.org/10.1016/j.compbiomed.2025.111041Article
Motivational factors affecting knowledge application capability of it staff members to improve information technology service management performance in higher education sector in Australia
Fathi, Abdulazeez Tayeb. 2025. Motivational factors affecting knowledge application capability of it staff members to improve information technology service management performance in higher education sector in Australia. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zzy28PhD Thesis
Advancing Federated Learning: A Systematic Literature Review of Methods, Challenges, and Applications
Sana, Tamanna Zubair, Abdulla, Shahab, Nag, Anindya, Das, Ayontika, Hassan, Md. Mehedi, Fiza, Zoya Zubairi, Karim, Asif and Kabir, Sheikh Ridwan Raihan. 2025. "Advancing Federated Learning: A Systematic Literature Review of Methods, Challenges, and Applications ." IEEE Access. 13, pp. 153817-153844. https://doi.org/10.1109/ACCESS.2025.3605165Article
Predicting Sea-Level Extremes and Wetland Change in the Maroochy River Floodplain Using Remote Sensing and Deep Learning Approach
Raj, Nawin, Singh, Niharika, Downs, Nathan and Singh-Peterson, Lila. 2025. "Predicting Sea-Level Extremes and Wetland Change in the Maroochy River Floodplain Using Remote Sensing and Deep Learning Approach." Remote Sensing. 17 (17). https://doi.org/10.3390/rs17172988Article
Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model
Alabdally, H., Ali, M., Diykh, M., Deo, R., Aldhafeeri, A.A., Abdulla, S. and Farooque, A.. 2025. "Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model." Forecasting. 7 (3). https://doi.org/https://doi.org/10.3390/forecast7030046Article
A framework for assessing authentic IoT projectbased laboratory learning activities
Hills, C. and Kist, A.A.. 2025. "A framework for assessing authentic IoT projectbased laboratory learning activities ." expat’25 – 7th Experiment@ International Conference. HortaPaper
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