4601. Applied computing
| Title | 4601. Applied computing |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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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
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
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
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
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
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI
Wei, Shicheng, Yang, Wencheng, Wang, Eugene, Wang, Song and Li, Yan. 2025. "A 3D decoupling Alzheimer’s disease prediction network based on structural MRI." Health Information Science and Systems. 13. https://doi.org/10.1007/s13755-024-00333-3Article
The Copyright Law of Spatial Data
Kariyawasam, Kanchana, Palliyaarachchi, Rangika and Campbell, Glenn. 2024. The Copyright Law of Spatial Data. United Kingdom. Routledge.Authored book
Enhanced artificial intelligence-based cybersecurity for the detection of cyber fraud in the banking industry
A. Q. Marazqah Btoush, Eyad. 2024. Enhanced artificial intelligence-based cybersecurity for the detection of cyber fraud in the banking industry. PhD Thesis Doctor of Philosophy . University of Southern Queensland. https://doi.org/10.26192/zqyx7PhD Thesis
Forecasting River Water Temperature Using Explainable Artificial Intelligence and Hybrid Machine Learning: Case Studies in Menindee Region in Australia
Briceno Medina, Leyde, Joehnk, Klaus, Deo, Ravinesh C., Ali, Mumtaz, Prasad, Salvin S. and Downs, Nathan. 2024. "Forecasting River Water Temperature Using Explainable Artificial Intelligence and Hybrid Machine Learning: Case Studies in Menindee Region in Australia." Water. 16 (24). https://doi.org/10.3390/w16243720Article
EventsVista: Enhancing Event Visualization and Interpretation
Farhat, Mohamad Khalil, Zhang, Ji, Tao, Xiaohui, Li, Tianning and Yu, T.. 2024. "EventsVista: Enhancing Event Visualization and Interpretation." 2023 10th International Conference on Behavioural and Social Computing (BESC). Larnaca, Cyprus 30 Oct - 01 Nov 2023 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BESC59560.2023.10386648Paper
Atmospheric visibility and cloud cover forecasting with novel artificial intelligence methods for Fiji's aviation sector
Raj, Shiveel. 2024. Atmospheric visibility and cloud cover forecasting with novel artificial intelligence methods for Fiji's aviation sector. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y1yMasters Thesis
Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare
Pervez, Farrukh, Shoukat, Moazzam, Suresh, Varsha, Farooq, Muhammad Umar Bin, Sandhu, Moid, Qayyum, Adnan, Usama, Muhammad, Girardi, Adnan, Latif, Siddique and Qadir, Junaid. 2024. "Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare." IEEE Open Journal of the Computer Society. 5, pp. 491-510. https://doi.org/10.1109/OJCS.2024.3462812Article
Safety and quality within the healthcare supply chain: a great unknown
Smith, Sean, Lane, Michael, Toleman, Mark and Shrestha, Anup. 2024. "Safety and quality within the healthcare supply chain: a great unknown." 19th World Congress on Medical and Health Informatics (MEDINFO 2023). Sydney, Australia 08 - 12 Jul 2023 Australia. IOP Publishing. https://doi.org/10.3233/SHTI230988Paper
Revolutionizing healthcare with federated reinforcement learning: from machine learning to machine unlearning
Shaik, Thanveer Basha. 2023. Revolutionizing healthcare with federated reinforcement learning: from machine learning to machine unlearning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z6096PhD by Publication
Modelling of shoreline changes of coral reef islands using satellite observations and cloud computing
Akram, Hassan, Zhang, Zhenyu and Liu, Xiaoye. 2023. "Modelling of shoreline changes of coral reef islands using satellite observations and cloud computing." 2023 Asian Conference on Remote Sensing (ACRS2023). Taipei, Taiwan 30 Oct - 03 Nov 2023 Taiwan.Poster
Introducing Technology for Learning in Prisons: Meeting Challenges and Realising Opportunities
Farley, Helen and Ware, Jason. 2023. "Introducing Technology for Learning in Prisons: Meeting Challenges and Realising Opportunities." Advancing Corrections: Journal of the International Corrections and Prisons Association. (16), pp. 24-35.Article
Enhancing climate resilience by combining practice and insurance strategies: A case study for cotton crop
Nguyen-Huy, Thong and Battersby, Kerry. 2023. "Enhancing climate resilience by combining practice and insurance strategies: A case study for cotton crop." Queensland Disaster Management Research Forum 2023. Brisbane, Australia 07 - 07 Nov 2023Presentation
Automatic sleep spindles identification and classification with multitapers and convolution
Zapata, Ignacio, Wen, Peng, Jones, Evan, Fjaagesund, Shauna and Li, Yan. 2024. "Automatic sleep spindles identification and classification with multitapers and convolution." Sleep. 47 (1). https://doi.org/10.1093/sleep/zsad159Article
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10Paper
AI enabled RPM for Mental Health Facility
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Xie, Haoran, Gururajan, Raj and Zhou, Xujuan. 2022. "AI enabled RPM for Mental Health Facility." 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare (WMSSH 2022). Sydney, Australia 21 Oct 2022 New York, United States. https://doi.org/10.1145/3556551.3561191Paper
Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models
Nguyen-Huy, Thong, Deo, Ravinesh C., Khan, Shahjahan, Devi, Aruna, Adeyinka, Adewuyi Ayodele, Apan, Armando A. and Yaseen, Zaher Mundher. 2022. "Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models." IEEE Access. 10, pp. 45112 -45136. https://doi.org/10.1109/ACCESS.2022.3168322Article
FedStack: Personalized Activity Monitoring using Stacked Federated Learning
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Gururajan, Raj, Li, Yuefeng, Zhou, Xujuan and Acharya, U Rajendra. 2022. "FedStack: Personalized Activity Monitoring using Stacked Federated Learning." Knowledge-Based Systems. 257, pp. 1-14. https://doi.org/10.1016/j.knosys.2022.109929Article
Generation of synthetic manufacturing datasets for machine learning using discrete-event simulation
Chan, K. C., Rabaev, Marsel and Pratama, Handy. 2022. "Generation of synthetic manufacturing datasets for machine learning using discrete-event simulation." Production and Manufacturing Research. 10 (1), pp. 337-353. https://doi.org/10.1080/21693277.2022.2086642Article
Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG." Sensors. 22 (16). https://doi.org/10.3390/s22166099Article
Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain
Akbari, Hesam, Sadiq, Muhammad Tariq, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain." Health Information Science and Systems. 10 (1). https://doi.org/10.1007/s13755-022-00187-7Article
A hybrid deep learning scheme for multi-channel sleep stage classification
Pei, Wei, Li, Yan, Siuly, Siuly and Wen, Peng. 2022. "A hybrid deep learning scheme for multi-channel sleep stage classification." Computers, Materials and Continua. 71 (1), pp. 889-905. https://doi.org/10.32604/cmc.2022.021830Article
Alcoholic EEG signals recognition based on phase space dynamic and geometrical features
Sadiq, Muhammad Tariq, Akbar, Hesam, Siuly, Siuly, Li, Yan Li and Wen, Peng (Paul). 2022. "Alcoholic EEG signals recognition based on phase space dynamic and geometrical features." Chaos, Solitons and Fractals. 158, pp. 1-12. https://doi.org/10.1016/j.chaos.2022.112036Article
An automatic scheme with diagnostic index for identification of normal and depression EEG signals
Akari, Hesam, Sadiq, Muhammad Tariq, Siuly, Siuly, Li, Yan and Wen, Peng (Paul). 2021. "An automatic scheme with diagnostic index for identification of normal and depression EEG signals." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Switzerland. https://doi.org/10.1007/978-3-030-90885-0_6Paper
Towards a user-level self-management of COVID-19 using mobile devices supported by Artificial Intelligence, 5G and the Cloud
Ahmed, Sajjad, Shrestha, Anup and Yong, Jianming. 2021. "Towards a user-level self-management of COVID-19 using mobile devices supported by Artificial Intelligence, 5G and the Cloud." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Switzerland. https://doi.org/10.1007/978-3-030-90885-0_4Paper
Does digital transformation of the Australian healthcare supply chain improve clinical safety?
Smith, Sean, Lane, Michael, Toleman, Mark and Shrestha, Anup. 2021. "Does digital transformation of the Australian healthcare supply chain improve clinical safety?" Beydoun, Ghassan, Fernandez, Fernandez and Xu, Dongming (ed.) 32nd Australasian Conference on Information Systems (ACIS 2021). Sydney, Australia 06 - 10 Dec 2021 Australia.Paper
Extracting built-up areas from spectro-textural information using machine learning
Maqsoom, Ahsen, Aslam, Bilal, Yousafzai, Arbaz, Ullah, Fahim, Ullah, Sami and Imran, Muhammad. 2022. "Extracting built-up areas from spectro-textural information using machine learning." Soft Computing. 26 (16), pp. 7789-7808. https://doi.org/10.1007/s00500-022-06794-6Article
Application of Novel Subgroups of Chinese Inpatients with Diabetes Based on Machine Learning Paradigm
Wang, Weihao, Chen, Zhi, Wang, Sen, Chen, Fei, Deng, Mingqun, Fan, Qi and Guo, Lixin. 2022. "Application of Novel Subgroups of Chinese Inpatients with Diabetes Based on Machine Learning Paradigm." Diabetes and Metabolic Syndrome: Clinical Research and Reviews. 16 (7). https://doi.org/10.1016/j.dsx.2022.102556Article
Mobile-based learning of drug prescription for medical education using artificial intelligence techniques
Tao, Xiaohui, Goh, Wee Pheng, Zhang, Ji, Yong, Jianming, Goh, Elizabeth Zhixin and Oh, Xueling. 2021. "Mobile-based learning of drug prescription for medical education using artificial intelligence techniques." International Journal of Mobile Learning and Organisation. 15 (4), pp. 392-408. https://doi.org/10.1504/IJMLO.2021.118436Article
Making investment decisions on RFID technology: an evaluation of key adoption factors in construction firms
Mabad, Tarik, Ali, Omar, Ally, Mustafa, Wamba, Samuel Fosso and Chan, Ka Ching. 2021. "Making investment decisions on RFID technology: an evaluation of key adoption factors in construction firms." IEEE Access. 9, pp. 36937-36954. https://doi.org/10.1109/ACCESS.2021.3063301Article
Structural composition and mechanical performances of poly (vinyl alcohol) materials: experimental and molecular dynamics simulation studies
Li, Lujuan. 2021. Structural composition and mechanical performances of poly (vinyl alcohol) materials: experimental and molecular dynamics simulation studies. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zzfd-0x89PhD Thesis
Algorithms, human decision-making and predictive policing
Phillips, Peter J. and Pohl, Gabriela. 2021. "Algorithms, human decision-making and predictive policing." SN Social Sciences. 1 (5), pp. 1-21. https://doi.org/10.1007/s43545-021-00109-6Article
Application of New International Classification of Adult‐Onset Diabetes in Chinese Inpatients with Diabetes Mellitus
Wang, Weihao, Pei, Xiaobei, Zhang, Lina, Chen, Zhi, Lin, Dong, Duan, Xiaoye, Fan, Jingwen, Pan, Qi and Guo, Lixin. 2021. "Application of New International Classification of Adult‐Onset Diabetes in Chinese Inpatients with Diabetes Mellitus." Diabetes - Metabolism: Research and Reviews. 37 (7). https://doi.org/10.1002/dmrr.3427Article
Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Khan, Mohsin, Farooque, Aitazaz Ahsan, Zong, Tianrui and Yaseen, Zaher Mundher. 2021. "Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology." Energy Reports. 7, pp. 6700-6717. https://doi.org/10.1016/j.egyr.2021.09.113Article
Data mining for precision medicine in clinical decision support systems
Goh, Wee Pheng. 2020. Data mining for precision medicine in clinical decision support systems. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/bvnz-kw90PhD Thesis
Feature-Based Learning in Drug Prescription System for Medical Clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Feature-Based Learning in Drug Prescription System for Medical Clinics." Neural Processing Letters. 52, pp. 1703-1721. https://doi.org/10.1007/s11063-020-10296-7Article