46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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A robust artificial intelligence informed over complete rational dilation wavelet transform technique coupled with deep learning for long-term rainfall prediction
Diykh, M., Ali, M., Farooque, A., Aldhafeeri, A.A., Jamei, M. and Labban, A.H.. 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/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
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
Cross-technology cloud offloading model
Al-Ahmad, A.S., Shrestha, A., Ali, O. and Kahtan, H.. 2025. "Cross-technology cloud offloading model." Journal of Cloud Computing. 14 (74). https://doi.org/10.1186/s13677-025-00819-9Article
A Comparative Analysis of Defense Mechanisms Against Model Inversion Attacks on Tabular Data
Vijayan, N., Chan, K. C. and Gururajan, R.. 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
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. 2025. "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. https://doi.org/10.1007/s11270-025-08734-0Article
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
Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Farooque, Aitazaz A., Cheema, Saad Javed, Randhawa, Gurjit S., Habib Gilani, Syed Zubair and Yaseen, Zaher Mundher. 2025. "Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection." Ecological Informatics. 92. https://doi.org/10.1016/j.ecoinf.2025.103468Article
Enablers and Disablers of implementing FAIR and CARE principles: A Systematic Review
Gacenga, Francis, Adeyinka, Adewuyi Ayodele, Nguyen-Huy, Thong and Chesters, Racheal. 2025. Enablers and Disablers of implementing FAIR and CARE principles: A Systematic Review. University of Southern Queensland. https://doi.org/10.26192/100157Dataset
Applying a layered approach to data protection in an emerging metaverse
Birt, James, Georgiades, Eugenia and Svantesson, Dan Jerker B.. 2025. "Applying a layered approach to data protection in an emerging metaverse." European Intellectual Property Review. 47 (10), pp. 577-591.Article
SPI-Informed Drought Forecasts Integrating Advanced Signal Decomposition and Machine Learning Models
Aldhafeeri, Anwar Ali, Ali, Mumtaz A, Khan, Mohsin and Labban, Abdulhaleem H.. 2025. "SPI-Informed Drought Forecasts Integrating Advanced Signal Decomposition and Machine Learning Models." Water. 17 (18). https://doi.org/10.3390/w17182747Article
Automated monitoring of fall armyworm natural enemies in summer grain crops
McCarthy, Alison, Girling, Robbie and Miles, Melina. 2025. "Automated monitoring of fall armyworm natural enemies in summer grain crops ." Australian Summer Grains Conference 2025. Benowa, Australia 07 - 09 Jul 2025Presentation
Verticillium and Fusarium wilts: improving understanding of interactions with irrigation and nutrition, and monitoring with machine vision
Scheikowski, Linda, McCarthy, Alison and Foley, Joseph. 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, Alison, Maas, Susan, Grundy, Paul and Long, Derek. 2025. "Lessons from commercialisation of cotton sensing technology research." 6th biennial Australian Cotton Research Conference. Narrabri, Australia 26 - 28 Aug 2025 Australia.Presentation
Developing canopy temperature sensors with new multipixel technology
McCarthy, A.. 2025. Developing canopy temperature sensors with new multipixel technology. Australia. University of Southern Queensland. https://doi.org/10.26192/zzyzwTechnical report
Automated sensing for improved integrated pest management of fall armyworm in summer broadacre crops
McCarthy, Alison, Girling, Robbie and Miles, Melina. 2025. Automated sensing for improved integrated pest management of fall armyworm in summer broadacre crops. Australia. University of Southern Queensland. https://doi.org/10.26192/zzyzqTechnical 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, Hussein, Ali, Mumtaz, Diykh, Mohammad, Deo, Ravinesh C., Aldhafeeri, Anwar Ali, Abdulla, Shahab and Farooque, Aitazaz Ahsan. 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/10.3390/forecast7030046Article
FedVGM: Enhancing Federated Learning Performance on Multi-Dataset Medical Images with XAI
Tahosin, Mst. Sazia, Sheakh, Md. Alif, Alam, Mohammad Jahangir, Hassan, Md. Mehedi, Bairagi, Anupam Kumar, Abdulla, Shahab, Alshathri, Samah and El-Shafai, Walid. 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, Mehdi, Farooque, Aitazaz Ahsan, Ali, Mumtaz, Karbasi, Masoud, Afzaal, Hassan, Cheema, Saad Javed, Zaman, Qamar Uz, Woon, Kok Sin and Sheridan, Paul. 2025. "eXplainable expert systems for potato tuber yield prediction in the Maritime provinces of Canada." Computers and Electronics in Agriculture. 238. 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, Riahi Madvar, Hossien, 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