4601. Applied computing
| Title | 4601. Applied computing |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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Forecasting River Water Temperature Using Explainable Artificial Intelligence and Hybrid Machine Learning: Case Studies in Menindee Region in Australia
Briceno Medina (Student), L., Joehnk, K., Deo, R., Ali, M., Prasad, S.S. and Downs, N.. 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/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
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
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), pp. 1-14. https://doi.org/10.1007/s13755-022-00187-7Article
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_4Conference or Workshop item
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 Sydney, 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
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
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
Epileptic seizures detection in EEGs blending frequency domain with information gain technique
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly and Abdulla, Shahab. 2019. "Epileptic seizures detection in EEGs blending frequency domain with information gain technique." Soft Computing. 23 (1), pp. 227-239. https://doi.org/10.1007/s00500-018-3487-0Article
Mining drug properties for decision support in dental clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2017. "Mining drug properties for decision support in dental clinics." Kim, J., Shim, K., Cao, L., Lee, J., Lin, X. and Moon, Y. (ed.) 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). Jeju, South Korea 23 - 26 May 2017 Germany. Springer. https://doi.org/10.1007/978-3-319-57529-2_30Conference or Workshop item
Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal
Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2014. "Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal." IEEE Journal of Biomedical and Health Informatics. 18 (6), pp. 1813-1821. https://doi.org/10.1109/JBHI.2014.2303991Article
EEG sleep stages classification based on time domain features and structural graph similarity
Diykh, Mohammed, Li, Yan and Wen, Peng. 2016. "EEG sleep stages classification based on time domain features and structural graph similarity." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24 (11), pp. 1159-1168. https://doi.org/10.1109/TNSRE.2016.2552539Article
Introducing the mobile ECG system: using multi-touch function to support cardiac diagnosis
Mula, Joseph and Lin, Adam. 2012. "Introducing the mobile ECG system: using multi-touch function to support cardiac diagnosis." Follow The Sun 2012: Online Learning Futures Festival (SUN 2012): Futures for Knowledge. Leicester, United Kingdom 27 - 30 Mar 2012 Leicester, United Kingdom.Paper
Comparative GO: a web application for comparative gene ontology and gene ontology-based gene selection in bacteria
Fruzangohar, Mario, Ebrahimie, Esmaeil, Ogunniyi, Abiodun D., Mahdi, Layla K., Paton, James C. and Adelson, David L.. 2013. "Comparative GO: a web application for comparative gene ontology and gene ontology-based gene selection in bacteria." PLoS One. 8 (3), pp. e58759-e58767. https://doi.org/10.1371/journal.pone.0058759Article
Handheld wireless devices and opinions of physicians in healthcare environment: a case of Pakistan
Hafeez-Baig, Abdul and Gururajan, Raj. 2014. "Handheld wireless devices and opinions of physicians in healthcare environment: a case of Pakistan." 25th Australasian Conference on Information Systems (ACIS 2014). Auckland, New Zealand 08 - 10 Dec 2014 Palmerston North, New Zealand.Paper
wHealth - transforming telehealth services
Rana, Rajib, Hume, Margee, Reilly, John and Soar, Jeffrey. 2016. "wHealth - transforming telehealth services." EAI Endorsed Transactions on Scalable Information Systems. 3 (8). https://doi.org/10.4108/eai.9-8-2016.151635Article
Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface
Siuly, Siuly, Li, Yan and Wen, Peng (Paul). 2014. "Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface ." Computer Methods and Programs in Biomedicine. 113 (3), pp. 767-780. https://doi.org/10.1016/j.cmpb.2013.12.020Article
A novel artificial immune algorithm for spatial clustering with obstacle constraint and its applications
Sun, Liping, Luo, Yonglong, Ding, Xintao and Zhang, Ji. 2014. "A novel artificial immune algorithm for spatial clustering with obstacle constraint and its applications." Computational Intelligence and Neuroscience. 2014. https://doi.org/10.1155/2014/160730Article