4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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STI/HIV Risk Prediction Model Development-A Novel Use of Public Data To Forecast STIs/HIV Risk For Men Who Have Sex With Men
Ji, Xiaopeng, Tang, Zhaohui, Osborne, Sonya R., Nguyen, Thi Phuoc Van, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2025. "STI/HIV Risk Prediction Model Development-A Novel Use of Public Data To Forecast STIs/HIV Risk For Men Who Have Sex With Men." Frontiers in Public Health. 12. https://doi.org/10.3389/fpubh.2024.1511689Article
SFFL: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions
Zhang, Jiale, Li, Ye, Wu, Di, Zhao, Yanchao and Palaiahnakote, Shivakumara. 2025. "SFFL: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions." Expert Systems with Applications. 269. https://doi.org/10.1016/j.eswa.2025.126418Article
Sleep of Nurses: A Comprehensive Scoping Review
Matricciani, Lisa, Clarke, Jarrod, Wiley, Shelley, Williams, Amelia, Baljak, Gabriele Raine, Graham, Kristin, Gum, Lyn, Rogers, Michelle, Howland, Kirstie, Stewart, Kiriaki, Ruf, Hayley, Marnie, Casey, Visvanathan, Vickneswari, Singh, Ben, Banks, Siobhan, Kelly, Michelle A. and Peters, Micah D. J.. 2025. "Sleep of Nurses: A Comprehensive Scoping Review." Journal of Advanced Nursing. 81 (5), pp. 2333-2344. https://doi.org/10.1111/jan.16603Article
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
Ali, Mumtaz, Nayahi, Jesu Vedha, Abdi, Erfan, Ghorbani, Mohammad Ali, Mohajeri, Farzan, Farooque, Aitazaz A. and Alamery, Salman. 2025. "Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory ." Ecological Informatics. 85. https://doi.org/10.1016/j.ecoinf.2025.102995Article
Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts
Ghimire, Sujan, AL-Musaylh, Mohanad S., Nguyen-Huy, Thong, Deo, Ravinesh C., Acharya, Rajendra, Casillas-Perez, David, Yaseen, Zaher Mundher and Salcedo-sanz, Sancho. 2025. "Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts." Applied Energy. 378 (Part A). https://doi.org/10.1016/j.apenergy.2024.124763Article
Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs
Yan, Cheng, Zhao, Feng, Tao, Xiaohui and Zhu, Xiaofeng. 2025. "Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs." IEEE Transactions on Big Data. 11 (3), pp. 1321-1333. https://doi.org/10.1109/TBDATA.2024.3453749Article
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities
Wang, Shuang, Zhang, He, Sheng, Quan Z., Li, Xiaoping, Sun, Zhu, Cai, Taotao, Zhang, Wei Emma, Yang, Jian and Gao, Qing. 2025. "A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities." IEEE Transactions on Big Data. 11 (2), pp. 314-332. https://doi.org/10.1109/TBDATA.2024.3423677Article
Technology adoption in the academic community: a multi-perspective study
Prentice, Catherine, Sengel, Ümit and Çevrimkaya, Mustafa. 2025. "Technology adoption in the academic community: a multi-perspective study." Anatolia: an international journal of tourism and hospitality research. 36 (2), pp. 238-251. https://doi.org/10.1080/13032917.2024.2399553Article
Unpacking service failures in artificial intelligence: future research directions
Chopra, Ritika, Bhardwaj, Seema, Thaichon, Park and Nair, Kiran. 2025. "Unpacking service failures in artificial intelligence: future research directions." Asia Pacific Journal of Marketing and Logistics. 37 (2), pp. 349-364. https://doi.org/10.1108/APJML-03-2024-0393Article
Integrating Artificial Intelligence and Customer Experience
Chen, Ying and Prentice, Catherine. 2025. "Integrating Artificial Intelligence and Customer Experience." Australasian Marketing Journal. 33 (2), pp. 141-153. https://doi.org/10.1177/14413582241252904Article
AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models
Aydin, Mehmet, Barua, Prabal Datta, Chadalavada, Sreenivasulu, Dogan, Sengul, Tuncer, Turker, Chakraborty, Subrata and Acharya, Rajendra U.. 2025. "AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models." Multimedia Tools and Applications. 84 (4), pp. 1821-1843. https://doi.org/10.1007/s11042-024-19163-2Article
Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey
Rao, Bosen, Zhang, Jiale, Wu, Di, Zhu, Chengcheng, Sun, Xiaobing and Chen, Bing. 2025. "Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey." IEEE Transactions on Artificial Intelligence. 6 (2), pp. 333-353. https://doi.org/10.1109/TAI.2024.3363670Article
Snap and diagnose: An advanced multimodal retrieval system for identifying plant diseases in the wild
Wei, Tianqi, Chen, Zhi and Yu, Xin. 2024. "Snap and diagnose: An advanced multimodal retrieval system for identifying plant diseases in the wild." 6th ACM International Conference on Multimedia in Asia (MMAsia '24). Auckland, New Zealand 03 - 06 Dec 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3696409.3700293Paper
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
Lim, Jia Syuen, Chen, Zhuoxiao, Baktashmotlagh, Mahsa, Chen, Zhi, Yu, Xin, Huang, Zi and Luo, Yadan. 2024. "DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection." 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024). Vancouver, Canada 10 - 15 Dec 2024 Canada.Paper
Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation
Zhang, Yi, Wang, Sen, Chen, Zhi, Xu, Xuwei, Funiak, Stano and Liu, Jiajun. 2024. "Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation." 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024). Taipei, Taiwan 07 - 10 May 2024 Springer. https://doi.org/10.1007/978-981-97-2253-2_14Paper
Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline
Wei, Tianqi, Chen, Zhi, Huang, Zi and Yu, Xin. 2024. "Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline." 32nd ACM International Conference on Multimedia (MM '24). Melbourne, Australia 28 Oct - 01 Nov 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3664647.3680599Paper
Secondary analysis of newly diagnosed type 2 diabetes subgroups and treatment responses in the MARCH cohort
Wang, Weihao, Li, Xinyao, Chen, Fei, Wei, Ran, Chen, Zhi, Li, Jingjing, Qiao, Jingtao, Pan, Qi, Yang, Wenying and Guo, Lixin. 2024. "Secondary analysis of newly diagnosed type 2 diabetes subgroups and treatment responses in the MARCH cohort." Diabetes and Metabolic Syndrome: Clinical Research and Reviews. 18 (1). https://doi.org/10.1016/j.dsx.2023.102936Article
Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight
Wu, Xiaohua, Li, Lin, Tao, Xiaohui and Li, Yuefeng. 2024. "Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight." 20th International Conference on Advanced Data Mining Applications (ADMA 2024). Sydney, Australia 03 - 05 Dec 2025 Singapore. Springer. https://doi.org/10.1007/978-981-96-0811-9_13Paper
Using Artificial Intelligence to Detect Underlying Issues in Projects: Seeing Beyond Current KPIs and Project Status Reports
Darby, Ryan and Lane, Michael. 2024. "Using Artificial Intelligence to Detect Underlying Issues in Projects: Seeing Beyond Current KPIs and Project Status Reports." Beydoun, G., Sutanto, J., Wickramasinghe, N. and SARBAZHOSSEINI, H. (ed.) 35th Australasian Conference on Information Systems (ACIS 2024). Canberra, Australia 04 - 06 Dec 2024 Australia. AIS Electronic Library.Paper
Epileptic Seizure Prediction Based on Synchroextracting Transform and Sparse Representation
Ra, Jee Sook, Li, Tianning and Li, Yan. 2024. "Epileptic Seizure Prediction Based on Synchroextracting Transform and Sparse Representation." IEEE Access. 12, pp. 187684-187695. https://doi.org/10.1109/ACCESS.2024.3514859Article
Retinal Health Screening Using Artificial Intelligence with Digital Fundus Images: A Review of the Last Decade (2012-2023)
Islam, Saad, Deo, Ravinesh C., Barua, Prabal Datta, Soar, Jeffrey, Yu, Ping and Acharya, U. Rajendra. 2024. "Retinal Health Screening Using Artificial Intelligence with Digital Fundus Images: A Review of the Last Decade (2012-2023)." IEEE Access. 12, pp. 176630-176685. https://doi.org/10.1109/ACCESS.2024.3477420Article
Automated EEG-based language detection using directed quantum pattern technique
Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta and Acharya, U.R.. 2024. "Automated EEG-based language detection using directed quantum pattern technique." Applied Soft Computing. 167 (Part A). https://doi.org/10.1016/j.asoc.2024.112301Article
Maximizing influence via link prediction in evolving networks
Zhang, Kexin, Li, Mo, Teng, Shuang, Li, Lingling, Wang, Yi, Zhao, Xuezhuan, Di, Jinhong and Zhang, Ji. 2024. "Maximizing influence via link prediction in evolving networks." Array. 24. https://doi.org/10.1016/j.array.2024.100366Article
Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction
Wang, Xinyu, Qiang, Feng, Ma, Li, Zhang, Peng, Yang, Hong Yang, Li, Zhao and Zhang, Ji. 2024. "Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction." 2024 International Joint Conference on Neural Networks (IJCNN). Yokohama, Japan 30 Jun - 05 Jul 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN60899.2024.10651498Paper
Developing a cobotic model for employee and customer engagement
Habib, John, Prentice, Catherine, Thaichon, Park and Gururajan, Raj. 2024. "Developing a cobotic model for employee and customer engagement." 27th Biennial International Congress on Tourism and Hospitality Industry 2024 (THI) . Opatija, Croatia 06 - 07 Jun 2024 Croatia. https://doi.org/10.20867/thi.27.29Paper
Movie recommendation and classification system using block chain
Abduljabbar, Tamara, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2024. "Movie recommendation and classification system using block chain ." Web Intelligence. 22 (4), pp. 659-680. https://doi.org/10.3233/WEB-230346Article
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
ChatGPT in Higher Education: A Comprehensive Study of the Literature. Friend or Foe?
van Rensburg, Henriette and Reedy, Natasha. 2024. "ChatGPT in Higher Education: A Comprehensive Study of the Literature. Friend or Foe?" 23rd European Conference on e-Learning - ECEL 2024. Porto, Portugal 24 - 25 Oct 2024 Portugal. Academic Conferences International Limited. https://doi.org/10.34190/ecel.23.1.3126Paper
Superior decomposition of xenobiotic dyes and pharmaceutical contaminants in wastewater using response surface methodology, artificial intelligence and machine learning for optimisation of a novel three-dimensional electrochemical technology
Ganthavee, Voravich. 2024. Superior decomposition of xenobiotic dyes and pharmaceutical contaminants in wastewater using response surface methodology, artificial intelligence and machine learning for optimisation of a novel three-dimensional electrochemical technology. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zqyq2PhD by Publication
Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review
Kaur, Avneet, Randhawa, Gurjit S., Abbas, Farhat, Ali, Mumtaz, Esau, Travis J., Farooque, Aitazaz A. and Singh, Rajandeep. 2024. "Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review." IEEE Access. 12, pp. 193902-193922. https://doi.org/10.1109/ACCESS.2024.3510456Article
A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation
Ali, Mumtaz, Prasad, Ramendra, Alamery, Salman and Farooque, Aitazaz Ahsan. 2024. "A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation." Results in Engineering. 24. https://doi.org/10.1016/j.rineng.2024.103607Article
Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features
Li, Tianning, Huang, Yi, Wen, Paul and Li, Yan. 2024. "Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features." Brain Informatics. 11. https://doi.org/10.1186/s40708-024-00241-yArticle
High Security and Privacy Protection Model for STI/HIV Risk Prediction
Tang, Zhaohui, Nguyen, Thi Phuoc Van, Yang, Wencheng, Xia, Xiaoyu, Chen, Huaming, Mullens, Amy B., Dean, Judith A., Osborne, Sonya and Li, Yan. 2024. "High Security and Privacy Protection Model for STI/HIV Risk Prediction." Digital Health. 10, pp. 1-14. https://doi.org/DOI:10.1177/20552076241298425Article
Advancing Educational Content Classification via Reinforcement Learning-Integrated Bloom's Taxonomy
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Dann, Christopher, Sun, Yuan and Sun, Yi. 2024. "Advancing Educational Content Classification via Reinforcement Learning-Integrated Bloom's Taxonomy." 2023 3rd International Conference on Digital Society and Intelligent Systems (DSInS). Chengdu, China 10 202 - 12 Nov 2023 IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/DSInS60115.2023.10455310Paper
Forecasting Multi-Step Soil Moisture with Three-Phase Hybrid Wavelet-Least Absolute Shrinkage Selection Operator-Long Short-Term Memory Network (moDWT-Lasso-LSTM) Model
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Raj, Nawin, Ghimire, Sujan, Yaseen, Zaher Mundher, Nguyen-Huy, Thong and Ghahramani, Afshin. 2024. "Forecasting Multi-Step Soil Moisture with Three-Phase Hybrid Wavelet-Least Absolute Shrinkage Selection Operator-Long Short-Term Memory Network (moDWT-Lasso-LSTM) Model." Water. 16 (21), p. 3133. https://doi.org/10.3390/w16213133Article
Applied Deep Learning for Artificial Intelligence-enabled Wireless Communication
Davey, Christopher P. 2024. Applied Deep Learning for Artificial Intelligence-enabled Wireless Communication. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zq1z6PhD by Publication
Real-time prediction of the week-ahead flood index using hybrid deep learning algorithms with synoptic climate mode indices
Ahmed, A.A. Masrur, Akther, Shahida, Nguyen-Huy, Thong, Raj, Nawin, Jui (Student), S Janifer and S.Z., Farzana. 2024. "Real-time prediction of the week-ahead flood index using hybrid deep learning algorithms with synoptic climate mode indices." Journal of Hydro-Environment Research. 57, pp. 12-26. https://doi.org/10.1016/j.jher.2024.09.001Article
Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques
Sutradha, Ananda, Akter, Sharmin, Shamrat, F M Javed Mehedi, Ghosh, Pronab, Zhou, Xujuan, Idris, Mohd Yamani Idna Bin, Ahmed, Kawsar and Moni, Mohammad Ali. 2024. "Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques ." Heliyon. 10 (17). https://doi.org/10.1016/j.heliyon.2024.e36556Article
Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands
Chand, Ravinesh. 2024. Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y7zMasters Thesis
Sentiment analysis for the detection of depressive users on social networks
Wigell, Chris. 2024. Sentiment analysis for the detection of depressive users on social networks. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y7yMasters Thesis
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460201. Artificial life and complex adaptive systems
460202. Autonomous agents and multiagent systems
460203. Evolutionary computation
460206. Knowledge representation and reasoning
460207. Modelling and simulation
460208. Natural language processing
460209. Planning and decision making