4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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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
Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models
Abdulla, Suha Zadain, Diykh, Mohammed, Abdulla, Shahab, Alabdally, Hussein and Sahi, Aqeel. 2025. "Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models ." 13th International Conference on Health Information Science (HIS 2024). Hong Kong, China 08 - 10 Dec 2024 Singapore. Springer. https://doi.org/10.1007/978-981-96-5597-7_25Paper
The Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models
Riaz, Farina, Abdulla, Shahab, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C. and Hopkins, Susan. 2025. "The Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models ." Journal of Data Science and Intelligent Systems. https://doi.org/10.47852/bonviewJDSIS52024231Article
Quantifying error in fine-scale crop yield forecasts to guide data and algorithm improvements: case study of mango in Tamil Nadu, India
Kouadio, Louis, Kulanthaivel, Bhuvaneswari, Mai, Thanh, Nguyen-Huy, Thong, Wang, Qingxia (Jenny), Byrareddy, Vivekananda M., Mushtaq, Shahbaz, Senthil, Alagarswamy, Newlands, Nathaniel K. and Geethalakshmi, Vellingiri. 2025. "Quantifying error in fine-scale crop yield forecasts to guide data and algorithm improvements: case study of mango in Tamil Nadu, India." Computers and Electronics in Agriculture. 236. https://doi.org/10.1016/j.compag.2025.110450Article
Enhanced Polycystic Ovary Syndrome Diagnosis Model Leveraging a K-means Based Genetic Algorithm and Ensemble Approach
Faris, Najlaa, Sahi, Aqeel, Diykh, Mohammed, Abdulla, Shahab and Siuly, Siuly. 2025. "Enhanced Polycystic Ovary Syndrome Diagnosis Model Leveraging a K-means Based Genetic Algorithm and Ensemble Approach." Intelligence-Based Medicine. https://doi.org/10.1016/j.ibmed.2025.100253Article
A Zero-Trust Multi-Processor Reporter-Verifier Design of Edge Devices for Firmware Authenticity in Internet of Things and Blockchain Applications
Maiti, Ananda and Kist, Alexander A. K.. 2025. "A Zero-Trust Multi-Processor Reporter-Verifier Design of Edge Devices for Firmware Authenticity in Internet of Things and Blockchain Applications." Journal of Sensor and Actuator Networks. 14 (2). https://doi.org/10.3390/jsan14020035Article
The Association Among Gender Diversity, Board Characteristics and Firms Performance
Masa’deh, Ra’ed, Samara, Husni, Abughaush, Suhaila and Almanadheh, Yazan. 2025. "The Association Among Gender Diversity, Board Characteristics and Firms Performance ." Hamdan, Allam (ed.) Achieving Sustainable Business through AI, Technology Education and Computer Science. Switzerland . Springer. pp. 711-734Edited book (chapter)
Equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for Information Diffusion Prediction
Lu, Ye, Zhang, Ji, Yu, Ting and Yang, Gaoming. 2025. "Equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for Information Diffusion Prediction." 25th International Conferenc on Web Information Systems Engineering (WISE 2024). Doha, Qatar 02 - 05 Dec 2024 Singapore . Springer. https://doi.org/10.1007/978-981-96-0573-6_6Paper
SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection
Sahi, Aqeel, Albdair, Mostfa, Diykh, Mohammed, Abdulla, Shahab, Alghayab, Hadi, Aljebur, Kaled and Alkhafaji, Sarmad K.D.. 2025. "SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection." Expert Systems with Applications. 281. https://doi.org/10.1016/j.eswa.2025.127572Article
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
The ETHICAL Framework for Responsible Generative AI Use in Research
Eacersall, D., Pretorius, L., Smirnov, I., Spray, E., Illingworth, S., Chugh, R., Strydom, S., Stratton-Maher, D., Simmons, J., Jenning, I., Roux, R., Kamrowski, R., Downie, A., Thong, C. L. and Howell, K. A.. 2025. The ETHICAL Framework for Responsible Generative AI Use in Research . Human-AI Collaborative Knowledgebase for Education and Research (HACKER).Other
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/https://link.springer.com/article/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
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
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
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
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
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
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.. 2024. "Sleep of Nurses: A Comprehensive Scoping Review." Journal of Advanced Nursing. https://doi.org/10.1111/jan.16603Article
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
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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