4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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Secured Multi-Objective Optimisation-Based Protocol for Reliable Data Transmission in Underwater Wireless Sensor Networks
Sahi, A.. 2025. "Secured Multi-Objective Optimisation-Based Protocol for Reliable Data Transmission in Underwater Wireless Sensor Networks." Mesopotamian Journal of Cyber Security. 5 (1), p. 216–239. https://doi.org/10.58496/MJCS/2025/015Article
Navigating ethical challenges in generative AI-enhanced research: The ETHICAL framework for responsible generative AI use
Eacersall, Douglas, Pretorius, Lynette, Smirnov, Ivan, Spray, Erika, Illingworth, Sam, Chugh, Ritesh, Strydom, Sonja, Stratton-Maher, Dianne, Simmons, Jonathan, Jennings, Isaac, Roux, Rian, Kamrowski, Ruth, Downie, Abigail, Thong, Chee Ling and Howell, Katharine A.. 2025. "Navigating ethical challenges in generative AI-enhanced research: The ETHICAL framework for responsible generative AI use ." Journal of Applied Learning and Teaching. 8 (2), pp. 1-14. https://doi.org/10.37074/jalt.2025.8.2.9Article
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
Cyber Threat Detection on Twitter Using Deep Learning Techniques: IDCNN and BiLSTM Integration
Alsodi, Omar, Zhou, Xujuan, Gururajan, Raj, Shrestha, Anup and Btoush, Eyad. 2025. "Cyber Threat Detection on Twitter Using Deep Learning Techniques: IDCNN and BiLSTM Integration." 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD). Brisbane, Australia 28 Nov - 02 Dec 2024 Australia. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CBD65573.2024.00073Paper
Multi‑step solar ultraviolet index prediction: integrating convolutional neural networks with long short‑term memory for a representative case study in Queensland, Australia
AL-Musaylh, Mohan, Al‑Dafaie, Kadhem, Downs, Nathan, Ghimire, Sujan, Ali, Mumtaz, Yaseen, Zaher Mundher, Igoe, Damien P., Deo, Ravinesh C., Paris, Alfo V. and A. Jebar, Mustapha A.. 2025. "Multi‑step solar ultraviolet index prediction: integrating convolutional neural networks with long short‑term memory for a representative case study in Queensland, Australia." Modeling Earth Systems and Environment. 11. https://doi.org/10.1007/s40808-024-02282-yArticle
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
Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract)
Zhu, Yifan, Lin, Qika, Lu, Hao, Shi, Kaize, Liu, Donglei, Chambua, James, Wang, Shanshan and Niu, Zhendong. 2024. "Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract)." 2024 IEEE 40th International Conference on Data Engineering (ICDE). Utrecht, Netherlands 13 - 14 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICDE60146.2024.00505Paper
Deep coupling network for multivariate time series forecasting
Yi, Kun, Zhang, Qi, He, Hui, Hui He, Hu, Liang, An, Ning and Niu, Zhendong. 2024. "Deep coupling network for multivariate time series forecasting." ACM Transactions on Information Systems. 42 (5), pp. 1-28. https://doi.org/10.1145/3653447Article
Adapting GNNs for document understanding: A flexible framework with multiview global graphs
Wu, Zhuojia, Zhang, Qi, Miao, Duoqian, Zhao, Xuerong and Shi, Kaize. 2024. "Adapting GNNs for document understanding: A flexible framework with multiview global graphs." IEEE Transactions on Computational Social Systems. 12 (2), pp. 608-621. https://doi.org/10.1109/TCSS.2024.3468890Article
Enhancing Academic Title Drafting Through Abstractive Summarization
Wu, Taoyu Wu and Shi, Kaize. 2024. "Enhancing Academic Title Drafting Through Abstractive Summarization." 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). Harbin, China 16 - 18 Aug 2024 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BESC64747.2024.10780612Paper
FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification
Liang, Yu, Zhang, Chenlong, An, Shan, Wang, Zaitian, Shi, Kaize, Peng, Tianhao, Ma, Yuqing, Xie, Xiaoyang, He, Jian and Zheng, Kun. 2024. "FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification." Journal of Neural Engineering. 21 (3). https://doi.org/10.1088/1741-2552/ad4743Article
A topic‐controllable keywords‐to‐text generator with knowledge base network
He, Li, Shi, Kaize, Wang, Dingxian, Wang, Xianzhi and Xu, Guandong. 2024. "A topic‐controllable keywords‐to‐text generator with knowledge base network." CAAI Transactions on Intelligence Technology. 9 (3), pp. 585-594. https://doi.org/10.1049/cit2.12280Article
Distributional drift adaptation with temporal conditional variational autoencoder for multivariate time series forecasting
He, Hui, Zhang, Qi, Yi, Kun, Shi, Kaize, Niu, Zhendong and Cao, Longbing. 2024. "Distributional drift adaptation with temporal conditional variational autoencoder for multivariate time series forecasting." IEEE Transactions on Neural Networks and Learning Systems. 36 (4), pp. 7287-7301. https://doi.org/10.1109/TNNLS.2024.3384842Article
Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement
Deng, Jiaqi, Shi, Kaize, Huo, Huan, Wang, Dingxian and Xu, Guandong. 2024. "Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement." 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24). Washington DC, United States 14 - 18 Jul 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3626772.3661347Paper
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
Sentiment Analysis for Detection of Depressive Users on Social Networks
Wigell, Christopher, Tao, Xiaohui, Li, Lin, Wang, Grace Y, Zhang, Ji and Sun, Yuan. 2024. "Sentiment Analysis for Detection of Depressive Users on Social Networks." 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). Harbin, China 16 - 18 Aug 2024 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BESC64747.2024.10780472Paper
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
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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