46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia
Raj, Nawin, Murali, Jaishukh, Singh-Peterson, Lila and Downs, Nathan. 2024. "Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia." Mathematics. 12 (15). https://doi.org/10.3390/math12152376Article
Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting
Karbasi, Masoud, Ali, Mumtaz, Farooque, Aitazaz Ahsan, Jamei, Mehdi, Khosravi, Khabat, Cheema, Saad Javed and Yaseen, Zaher Mundher. 2024. "Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting." Expert Systems with Applications. 256. https://doi.org/10.1016/j.eswa.2024.124900Article
Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems
Wang, Eric, Collins, Brian, Attard, Steve and Everingham, Yvette. 2024. "Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems." 45th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2024). Townsville, Australia 15 - 19 Apr 2024 Australia. Australian Society of Sugar Cane Technologists.Paper
3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications
Dananjaya, S.A.V., Chevali, V.S., Dear, J.P., Potluri, P. and Abeykoon, C.. 2024. "3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications ." Progress in Materials Science. 146. https://doi.org/10.1016/j.pmatsci.2024.101336Article
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics
Hu, Kaixi, Li, Lin, Xie, Qing, Liu, Jianquan, Tao, Xiaohui and Xu, Guandong. 2024. "Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics." ACM Transactions on Information Systems. 42 (3), pp. 1-35. https://doi.org/10.1145/3632403Article
Leveraging Synthetic Data and Machine Learning for Shared Facility Scheduling
Rabaev, Marsel, Pratama, Handy and Chan, Ka C.. 2024. "Leveraging Synthetic Data and Machine Learning for Shared Facility Scheduling." 17th International Conference on Information Technology and Applications (ICITA 2023). Turin, Italy 20 - 21 Oct 2023 Singapore. Springer. https://doi.org/10.1007/978-981-99-8324-7_34Paper
Epidemic Source Identification Based on Infection Graph Learning
Hong, Xingyun, Yu, Ting, Li, Zhao and Zhang, Ji. 2024. "Epidemic Source Identification Based on Infection Graph Learning." 7th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2023). Wuhan, China 06 - 08 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-97-2303-4_16Paper
MLOps-Enabled Security Strategies for Next-Generation Operational Technologies
Ahmad, Tazeem, Adnan, Mohd, Rafi, Saima, Akbar, Muhammad Azeem and Anwar, Ayesha. 2024. "MLOps-Enabled Security Strategies for Next-Generation Operational Technologies." 28th International Conference on Evaluation and Assessment in Software Engineering (EASE '24). Salerno, Italy 18 - 21 Jun 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3661167.3661283Paper
Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences
Zhang, Jianlin, Hou, Chen, Yang, Xu, Yang, Xuechao, Yang, Wencheng and Cui, Hui. 2024. "Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences." Array. 22. https://doi.org/10.1016/j.array.2024.100347Article
Time-Domain Sparsity-Based Bearing Fault Diagnosis Methods Using Pulse Signal-to-Noise Ratio
Zhang, Chi, Wei, Shaoming, Dong, Ge, Zeng, Yajun, Zhu, Guohun, Zhou, Xujuan and Liu, Feng. 2024. "Time-Domain Sparsity-Based Bearing Fault Diagnosis Methods Using Pulse Signal-to-Noise Ratio." IEEE Transactions on Instrumentation and Measurement. 73. https://doi.org/10.1109/TIM.2024.3375978Article
ConIS: controllable text-driven image stylization with semantic intensity
Yang, Gaoming, Li, Changgeng and Zhang, Ji. 2024. "ConIS: controllable text-driven image stylization with semantic intensity." Multimedia Systems. 30 (4). https://doi.org/10.1007/s00530-024-01381-1Article
Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation
Yang, Gaoming, Ding, Yifeng, Fang, Xianjin, Zhang, Ji and Chu, Yan. 2024. "Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation." The Visual Computer. https://doi.org/10.1007/s00371-024-03414-2Article
Two-dimensional data partitioning for non-negative matrix tri-factorization
Yan, Jiaxing, Liu, Hai, Lei, Zhiqi, Rao, Yanghui, Liu, Guan, Xie, Haoran, Tao, Xiaohui and Wang, Fu Lee. 2024. "Two-dimensional data partitioning for non-negative matrix tri-factorization." Big Data Research. 37. https://doi.org/10.1016/j.bdr.2024.100473Article
Special issue on link prediction in complex networks
Sheng, Michael, Cai, Taotao and Mahmood, Adnan. 2024. "Special issue on link prediction in complex networks." Computing. 106 (7), pp. 2079-2079. https://doi.org/10.1007/s00607-024-01298-7Editorial
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence
Shaik, Thanveer, Tao, Xiaohui, Xie, Haoran, Li, Lin, Yong, Jianming and Li, Yuefeng. 2024. "Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (4), pp. 2908-2918. https://doi.org/10.1109/TETCI.2024.3398024Article
Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization
Sello, Buti, Yong, Jianming and Tao, Xiaohui. 2024. "Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization." Data Science and Engineering. https://doi.org/10.1007/s41019-024-00251-0Article
Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment
Schmierer, Thomas, Li, Tianning and Li, Yan. 2024. "Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment." Artificial Intelligence in Medicine. 151. https://doi.org/10.1016/j.artmed.2024.102869Article
Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry
Raj, Shiveel, Deo, Ravinesh C., Sharma, Ekta, Prasad, Ramendra, Dinh, Toan and Salcedo-sanz, Sancho. 2024. "Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry." IEEE Access. 12, pp. 72530-72543. https://doi.org/10.1109/ACCESS.2024.3401091Article
Chaotic opposition Golden Sinus Algorithm for global optimization problems
Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir and Acharya, U. Ranjendra. 2024. "Chaotic opposition Golden Sinus Algorithm for global optimization problems." Chaos, Solitons and Fractals. 183. https://doi.org/10.1016/j.chaos.2024.114869Article
Lightweight federated learning for STIs/HIV prediction
Nguyen, Thi Phuoc Van, Yang, Wencheng, Tang, Zhaohui, Xia, Xiaoyu, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2024. "Lightweight federated learning for STIs/HIV prediction." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-56115-0Article
Cryptocurrency trading: A systematic mapping study
Nguyen, Duy Thien An and Chan, Ka Ching. 2024. "Cryptocurrency trading: A systematic mapping study." International Journal of Information Management Data Insights. 4 (2). https://doi.org/10.1016/j.jjimei.2024.100240Article
Revising data collection methodology - evidence from the Australian financial sector
Neilson, Ben, Marty, Tom and Daley, Nat. 2024. "Revising data collection methodology - evidence from the Australian financial sector." The Journal of Finance and Data Science. 10. https://doi.org/10.1016/j.jfds.2024.100131Article
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Nasarian, Elham, Alizadehsani, Roohallah, Acharya, U.Rajendra and Tsui, Kwok-Leung. 2024. "Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework." Information Fusion. 108. https://doi.org/10.1016/j.inffus.2024.102412Article
Variable Curvature Gabor Convolution and Multi-Branch Structures for Finger Vein Recognition
Li, Jun, Wang, Huabin, Wei, Shicheng, Zhou, Jian, Shen, Yuankang and Tao, Liang. 2024. "Variable Curvature Gabor Convolution and Multi-Branch Structures for Finger Vein Recognition." IEEE Transactions on Artificial Intelligence. 5 (9), pp. 4753-4764. https://doi.org/10.1109/TAI.2024.3397293Article
20 years of Web Intelligence: Call for a new era of AI in the Connected World
Kuai, Hongzhi and Tao, Xiaohui. 2024. "20 years of Web Intelligence: Call for a new era of AI in the Connected World." Web Intelligence. 22 (1), pp. 1-4. https://doi.org/10.3233/WEB-230451Editorial
Never-Ending Learning for Explainable Brain Computing
Kuai, Hongzhi, Chen, Jianhui, Tao, Xiaohui, Cai, Lingyun, Imamura, Kazuyuki, Matsumoto, Hiroki, Liang, Peipeng and Zhong, Ning. 2024. "Never-Ending Learning for Explainable Brain Computing." Advanced Science. 11 (24). https://doi.org/10.1002/advs.202307647Article
DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals
Kirik, Serkan, Tasci, Irem, Barua, Prabal D., Yildiz, Arif Metehan, Keles, Tugce, Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Tuncer, Turker, Devi, Aruna, Tan, Ru-San and Acharya, U.R.. 2024. "DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals." Knowledge-Based Systems. 300. https://doi.org/10.1016/j.knosys.2024.112150Article
Evidence of the conditions affecting knowledge hiding among librarians in academic libraries
Kakhki, Mojtaba Kaffashan, Zutshi, Ambika, Refoua, Shabnam, Maleksadati, Iman and Behzadi, Hassan. 2024. "Evidence of the conditions affecting knowledge hiding among librarians in academic libraries." The Electronic Library: the international journal for the application of technology in information environments. 42 (4), pp. 598-616. https://doi.org/10.1108/EL-09-2023-0229Article
Transfer learning with spinally shared layers
Kabir, H.M. Dipu, Mondal, Subrota Kumar, Alam, Syed Bahauddin and Acharya, U. Rajendra. 2024. "Transfer learning with spinally shared layers." Applied Soft Computing. 163, pp. -. https://doi.org/10.1016/j.asoc.2024.111908Article
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning
Job, Simi, Tao, Xiaohui, Li, Lin, Xie, Haoran, Cai, Taotao, Yong, Jianming and Li, Qing. 2024. "Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning ." ACM Transactions on Intelligent Systems and Technology. 15 (2), pp. 1-22. https://doi.org/10.1145/3643856Article
Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction
Hu, Kaixi, Li, Lin, Tao, Xiaohui and Zhang, Jianwei. 2024. "Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction." IEEE Signal Processing Letters. 31, pp. 1234-1238. https://doi.org/10.1109/LSP.2024.3393863Article
Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis
Hossain, Tanzim, Shamrat, F M Javed Mehedi, Zhou, Xujuan, Mahmud, Imran, Mazumder, Md. Sakib Ali, Sharmin, Sharmin and Gururajan, Raj. 2024. "Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis." PeerJ Computer Science. 10. https://doi.org/10.7717/PEERJ-CS.1950Article
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
Gudigar, Anjan, Kadri, Nahrizul Adib, Raghavendra, U., Samanth, Jyothi, Maithri, M., Inamdar, Mahesh Anil, Prabhu, Mukund A., Hegde, Ajay, Salvi, Massimo, Yeong, Chai Hong, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)." Computers in Biology and Medicine. 172. https://doi.org/10.1016/j.compbiomed.2024.108207Article
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model
Ghimire, Sujan, Deo, Ravinesh C., Pourmousavi, S. Ali, Casillas-Perez, David and Salcedo-sanz, Sancho. 2024. "Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model." Engineering Applications of Artificial Intelligence. 135. https://doi.org/10.1016/j.engappai.2024.108702Article
A Review of Fog Computing: Concept, Architecture, Application, Parameters, and Challenges
Ghani, Naveed, Sajak, Aznida Abu Bakar, Qureshi, Rehan, Zuhairi, Megat Farez Azril and Baidowi, Zaid Mujaiyid Putra Ahmad. 2024. "A Review of Fog Computing: Concept, Architecture, Application, Parameters, and Challenges." International Journal on Informatics Visualization. 8 (2), pp. 564-575. https://doi.org/10.62527/joiv.8.2.2187Article
Towards an integrated framework for developing blockchain systems
Fahmideh, Mahdi, Abedin, Babak and Shen, Jun. 2024. "Towards an integrated framework for developing blockchain systems." Decision Support Systems. 180. https://doi.org/10.1016/j.dss.2024.114181Article
An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals
Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker and Acharya, U. Rajendra. 2024. "An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals." Engineering Applications of Artificial Intelligence. 133 (Part D). https://doi.org/10.1016/j.engappai.2024.108306Article
Integrating Artificial Intelligence and Customer Experience
Chen, Ying and Prentice, Catherine. 2024. "Integrating Artificial Intelligence and Customer Experience." Australasian Marketing Journal. https://doi.org/10.1177/14413582241252904Article
Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee and Cao, Jie. 2024. "Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses." International Journal of Machine Learning and Cybernetics. 15 (11), pp. 4973-4998. https://doi.org/10.1007/s13042-024-02203-6Article
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee, Leng, Mingming and Lei, Baiying. 2024. "Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics." Artificial Intelligence Review. 57 (4). https://doi.org/10.1007/s10462-024-10712-7Article