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
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing
Zhao, Zecheng, Chen, Zhi, Huang, Zi, Sadiq, Shazia and Chen, Tong. 2025. "Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing." 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '25). Padua, Italy 13 - 18 Jul 2025 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3726302.3729936Paper
DoA Assessment Based on EEG DFA and Entropy Features
Chen, Xing, Song, Bo and Wen, Peng. 2025. "DoA Assessment Based on EEG DFA and Entropy Features." Brain Informatics 2024. Bangkok Singapore. Springer. https://doi.org/10.1007/978-981-96-3297-8_6Paper
A Trajectory Planning and Tracking Method Based on Deep Hierarchical Reinforcement Learning
Zhang, Jiajie, Ye, Bao-Lin, Wang, Xin, Li, Lingxi and Song, Bo. 2025. "A Trajectory Planning and Tracking Method Based on Deep Hierarchical Reinforcement Learning." Journal of Intelligent and Connected Vehicles. 8 (2). https://doi.org/10.26599/JICV.2025.9210056Article
Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation
Yu, Zhiqi, Liao, Zhichao, Li, Jingjing, Chen, Zhi and Zhu, Lei. 2025. "Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation." 39th AAAI Conference on Artificial Intelligence (AAAI 2025). Philadelphia, Pennsylvania, United States 25 Feb - 04 Mar 2025 United States. Association for the Advancement of Artificial Intelligence (AAAI). https://doi.org/10.1609/aaai.v39i21.34380Paper
Spectrogram-based Deep Learning Approach for Anomaly Detection from Cough Sounds
Keles, Tugce, Dogan, Sengul, Hafeez-Baig, Abdul and Tuncer, Turker. 2025. "Spectrogram-based Deep Learning Approach for Anomaly Detection from Cough Sounds." International Journal of Information Technology and Computer Science (IJITCS). 17 (3), pp. 1-12. https://doi.org/10.5815/ijitcs.2025.03.01Article
MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns
Yaman, Suleyman, Güler, Hasan, Sengur, Abdulkadir, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2025. "MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns." Biomedical Signal Processing and Control. 110 (Part A). https://doi.org/10.1016/j.bspc.2025.108221Article
AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction
Chadalavada, Sreeni, Yaman, Suleyman, Sengur, Abdulkadir, Deo, Ravinesh C., Hafeez-Baig, Abdul, Kolbe-Alexander, Tracy, Sampathila, Niranjana and Acharya, U. Rajendra. 2025. "AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction." IEEE Access. 13, pp. 96261-96276. https://doi.org/10.1109/ACCESS.2025.3574722Article
Advancing Alzheimer's Disease Detection: A Novel Convolutional Neural Network based framework Leveraging EEG Data and Segment Length Analysis
Tawhid, Md Nurul Ahad, Siuly, Siuly, Kabir, Enamul and Li, Yan. 2025. "Advancing Alzheimer's Disease Detection: A Novel Convolutional Neural Network based framework Leveraging EEG Data and Segment Length Analysis." Brain Informatics. 12. https://doi.org/10.1186/s40708-025-00260-3Article
Leveraging Advanced Data-Driven Approaches to Forecast Daily Floods Based on Rainfall for Proactive Prevention Strategies in Saudi Arabia
Aldhafiri, Anwar Ali, Ali, Mumtaz and Labban, Abdulhaleem H.. 2025. "Leveraging Advanced Data-Driven Approaches to Forecast Daily Floods Based on Rainfall for Proactive Prevention Strategies in Saudi Arabia." Water. 17 (11). https://doi.org/10.3390/w17111699Article
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. 11. 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
Current and future roles of artificial intelligence in retinopathy of prematurity
Jafarizadeh, Ali, Maleki, Shadi Farabi, Pouya, Parnia, Sobhi, Navid, Abdollahi, Mirsaeed, Pedrammehr, Siamak, Lim, Chee Peng, Asadi, Houshyar, Alizadehsani, Roohallah, Tan, Ru-San, Islam, Sheikh Mohammed Shariful and Acharya, U. Rajendra. 2025. "Current and future roles of artificial intelligence in retinopathy of prematurity." Artificial Intelligence Review. 58 (6). https://doi.org/10.1007/s10462-025-11153-6Article
BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things
Khan, Abdullah Ayub, Yang, Jing, Laghari, Asif Ali, Baqasah, Abdullah M., Alroobaea, Roobaea, Ku, Chin Soon, Alizadehsani, Roohallah, Acharya, U. Rajendra and Por, Lip Yee. 2025. "BAIoT-EMS: Consortium network for small-medium enterprises management system with blockchain and augmented intelligence of things." Engineering Applications of Artificial Intelligence. 141. https://doi.org/10.1016/j.engappai.2024.109838Article
Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability
Tao, Hai, Aldlemy, Mohammed Suleman, Saad, Mohammed Ayad, Yeap, Swee Pin, Oudah, Atheer Y., Alawi, Omer A., Goliatt, Leonardo, Ahmad, Shamsad, Yaseen, Zaher Mundher and Deo, Ravinesh C.. 2025. "Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability." Engineering Applications of Artificial Intelligence. 143. https://doi.org/10.1016/j.engappai.2024.109946Article
Multimodal fusion framework based on knowledge graph for personalized recommendation
Wang, Jingjing, Xie, Haoran, Zhang, Siyu, Qin, S. Joe, Tao, Xiaohui, Wang, Fu Lee and Xu, Xiaoliang. 2025. "Multimodal fusion framework based on knowledge graph for personalized recommendation." Expert Systems with Applications. 268. https://doi.org/10.1016/j.eswa.2024.126308Article
A dual-method approach using autoencoders and transductive learning for remaining useful life estimation
Yang, Jing, Boroojeni, Nika Anoosha, Chahardeh, Mehran Kazemi, Por, Lip Yee, Alizadehsani, Roohallah and Acharya, U. Rajendra. 2025. "A dual-method approach using autoencoders and transductive learning for remaining useful life estimation." Engineering Applications of Artificial Intelligence. 147. https://doi.org/10.1016/j.engappai.2025.110285Article
A novel uncertainty-aware liquid neural network for noise-resilient time series forecasting and classification
Akpinar, Muhammed Halil, Atila, Orhan, Sengur, Abdulkadir, Salvi, Massimo and Acharya, U.R.. 2025. "A novel uncertainty-aware liquid neural network for noise-resilient time series forecasting and classification." Chaos, Solitons and Fractals. 193. https://doi.org/10.1016/j.chaos.2025.116130Article
Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach
Ghimire, Sujan, Deo, Ravinesh C., Hopf, Konstantin, Liu, Hangyue, Casillas-Perez, David, Helwig, Andreas, Prasad, Salvin S., Perez-Aracil, Jorge, Barua, Prabal Datta and Salcedo-Sanz, Sancho. 2025. "Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach." Energy and AI. 20. https://doi.org/10.1016/j.egyai.2025.100492Article
Grape Guard: A YOLO-based mobile application for detecting grape leaf diseases
S.B., Mamun, I.J., Payel, Ahad, Md Taimur, A.S., Atkins, Song, Bo and Li, Yan. 2025. "Grape Guard: A YOLO-based mobile application for detecting grape leaf diseases." Journal of Electronic Science and Technology. 23 (1). https://doi.org/10.1016/j.jnlest.2025.100300Article
Happiness Prediction With Domain Knowledge Integration and Explanation Consistency
Wu, Xiaohua, Li, Lin, Tao, Xiaohui, Xing, Frank and Yuan, Jingling. 2025. "Happiness Prediction With Domain Knowledge Integration and Explanation Consistency." IEEE Transactions on Computational Social Systems. https://doi.org/10.1109/TCSS.2025.3529946Article
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
Navigating ethical challenges in generative AI-enhanced research: The ETHICAL framework for responsible generative AI use
Roux, Rian, Eacersall, Douglas, Pretorius, Lynette, Smirnov, Ivan, Spray, Erika, Illingworth, Sam, Chugh, Ritesh, Strydom, Sonja, Stratton-Maher, Dianne, Simmons, Jonathan, Jenning, Isaac, 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
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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