46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Innovative Virtual Reality (VR) Application for Preventing of Falls among Chinese Older Adults: A Usability and Acceptance Exploratory Study
Ip, Wing Keung, Soar, Jeffrey, James, Christina, Wang, Zoe and Fong, Kenneth N. K.. 2024. "Innovative Virtual Reality (VR) Application for Preventing of Falls among Chinese Older Adults: A Usability and Acceptance Exploratory Study ." Human Behavior and Emerging Technologies. 2024. https://doi.org/10.1155/2024/5556767Article
Evaluation of Virtual Reality Technology for Reducing the Risk of Falls among Older Adults with Mild Cognitive Impairment and Dementia
Ip, Wing Keung. 2024. Evaluation of Virtual Reality Technology for Reducing the Risk of Falls among Older Adults with Mild Cognitive Impairment and Dementia. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z7q75PhD by Publication
Making sense of student feedback and engagement using artificial intelligence
Dann, Christopher, Redmond, Petrea, Fanshawe, Melissa, Brown, Alice, Getenet, Seyum, Shaik, Thanveer, Tao, Xiaohui, Galligan, Linda and Li, Yan. 2024. "Making sense of student feedback and engagement using artificial intelligence." Australasian Journal of Educational Technology. 40 (3). https://doi.org/10.14742/ajet.8903Article
Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model
Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. "Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model." IEEE Access. 12, pp. 58750-58777. https://doi.org/10.1109/ACCESS.2024.3392899Article
Advancing Stochastic Wind Speed Forecasting Methods with Novel Hybrid Deep Learning Techniques
Joseph, Lionel Prakash. 2024. Advancing Stochastic Wind Speed Forecasting Methods with Novel Hybrid Deep Learning Techniques. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z7967PhD by Publication
Machine learning-based assessment of deforestation, successional stages, and carbon stocks in a tropical montane forest using radar and optical satellite imagery
Altarez, Richard Dein D.. 2024. Machine learning-based assessment of deforestation, successional stages, and carbon stocks in a tropical montane forest using radar and optical satellite imagery. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z78z2PhD by Publication
Enhancing social work education about domestic and family violence through virtual reality simulations
Schaffer, Krystal Lee. 2024. Enhancing social work education about domestic and family violence through virtual reality simulations. PhD by Publication Doctor of Philosophy . University of Southern Queensland. https://doi.org/10.26192/z78y6PhD by Publication
Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models
Abdi, Erfan, Ali, Mumtaz, Guimarães Santos, Celso Augusto, Olusola, Adeyemi and Ghorbani, Mohammad Ali. 2024. "Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models." Groundwater for Sustainable Development. 26. https://doi.org/10.1016/j.gsd.2024.101213Article
Copula-Probabilistic Flood Risk Analysis with an Hourly Flood Monitoring Index
Chand, Ravinesh, Nguyen-Huy, Thong, Deo, Ravinesh C., Ghimire, Sujan, Ali, Mumtaz and Ghahramani, Afshin. 2024. "Copula-Probabilistic Flood Risk Analysis with an Hourly Flood Monitoring Index." Water. 16 (11). https://doi.org/https://doi.org/10.3390/w16111560Article
AI Literacy: Principles for Ethical Generative Artificial Intelligence
Eacersall, D.. 2024. AI Literacy: Principles for Ethical Generative Artificial Intelligence . Human-AI Collaborative Knowledgebase for Education and Research (HACKER).Other
Addressing Knowledge Gaps in ITSM Practice with “Learning Digital Commons”: A Case Study
Ramakrishnan, Muralidharan, Gregor, Shirley, Shrestha, Anup and Soar, Jeffrey. 2024. "Addressing Knowledge Gaps in ITSM Practice with “Learning Digital Commons”: A Case Study." Information Systems Frontiers: a journal of research and innovation. https://doi.org/10.1007/s10796-024-10483-0Article
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data
Diykh, Mohammed, Ali, Mumtaz, Jamei, Mehdi, Abdulla, Shahab, Uddin, Md Palash, Farooque, Aitazaz Ahsan, Labban, Abdulhaleem H. and Alabdally, Hussein. 2024. "Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data." Computers and Electronics in Agriculture. 221. https://doi.org/10.1016/j.compag.2024.108964Article
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran, Cai, Taotao, Zhu, Xiaofeng and Li, Qing. 2024. "FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning ." IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2024.3382726Article
Test record 2024
Callow, M.. 2024. Test record 2024.Authored book
UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning
Jiang, Shui, Ge, Yanning, Yang, Xu, Yang, Wencheng and Cui, Hui. 2024. "UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning." Future Internet. 16 (3). https://doi.org/10.3390/fi16030105Article
Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model
Huang, Yongrong, Wang, Huiqing, Chen, Zhide, Feng, Chen, Zhu, Kexin, Yang, Xu and Yang, Wencheng. 2024. "Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model." IEEE Open Journal of the Computer Society. 5, pp. 83-94. https://doi.org/10.1109/OJCS.2024.3370603Article
Impact of stakeholder engagement strategies on managerial cognitive decision-making: the context of CSP and CSR
Yusif, Salifu and Hafeez-Baig, Abdul. 2024. "Impact of stakeholder engagement strategies on managerial cognitive decision-making: the context of CSP and CSR." Social Responsibility Journal. https://doi.org/10.1108/SRJ-05-2023-0295Article
Contrastive sentence representation learning with adaptive false negative cancellation
Xu, Lingling, Xie, Haoran, Wang, Fu Lee, Tao, Xiaohui, Wang, Weiming and Li, Qing. 2024. "Contrastive sentence representation learning with adaptive false negative cancellation." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102065Article
RCNet: Related Context-Driven Network with Hierarchical Attention for Salient Object Detection
Xia, Chenxing, Sun, Yanguang, Li, Kuan-Ching, Ge, Bin, Zhang, Hanling, Jiang, Bo and Zhang, Ji. 2024. "RCNet: Related Context-Driven Network with Hierarchical Attention for Salient Object Detection." Expert Systems with Applications. 237 (Part A). https://doi.org/10.1016/j.eswa.2023.121441Article
A Blockchain-Based Trustworthy Access Control Scheme for Medical Data Sharing
Wang, Canling, Wu, Wei, Chen, Fulong, Shu, Hong, Zhang, Ji, Zhang, Yuxuan, Wang, Taochun, Xie, Dong and Zhao, Chuanxin. 2024. "A Blockchain-Based Trustworthy Access Control Scheme for Medical Data Sharing." IET Information Security. 2024. https://doi.org/10.1049/2024/5559522Article
A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran and Velasquez, Juan D.. 2024. "A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102040Article
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Higgins, Niall, Gururajan, Raj, Zhou, Xujuan and Yong, Jianming. 2024. "Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion." Pattern Recognition Letters. 177. https://doi.org/10.1016/j.patrec.2023.12.004Article
Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application
Raza, Muhammad, Enam, Rabia Noor and Qureshi, Rehan. 2024. "Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application." Frontiers in Big Data. 7. https://doi.org/10.3389/fdata.2024.1358486Article
Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security
Nabi, Faisal and Zhou, Xujuan. 2024. "Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security." Cyber Security and Applications. 2. https://doi.org/10.1016/j.csa.2023.100033Article
Category-Wise Meal Recommendation
Li, Ming, Li, Lin, Tao, Xiaohui, Xie, Qing and Yuan, Jingling. 2024. "Category-Wise Meal Recommendation." 30th International Conference on Neural Information Processing, Part XIV (ICONIP2023). Changsha, China 20 - 23 Nov 2023 Singapore . Springer. https://doi.org/10.1007/978-981-99-8181-6_22Paper
Insights into software development approaches: mining Q &A repositories
Khan, Arif Ali, Khan, Javed Ali, Akbar, Muhammad Azeem, Zhou, Peng and Fahmideh, Mahdi. 2024. "Insights into software development approaches: mining Q &A repositories." Empirical Software Engineering: an international journal. 29 (1). https://doi.org/10.1007/s10664-023-10417-5Article
Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. "Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model." Applied Energy. 359. https://doi.org/10.1016/j.apenergy.2024.122624Article
Cybersecurity threats in FinTech: A systematic review
Javaheri, Danial, Fahmideh, Mahdi, Chizari, Hassan, Lalbakhsh, Pooia and Hur, Junbeom. 2024. "Cybersecurity threats in FinTech: A systematic review." Expert Systems with Applications. 241. https://doi.org/10.1016/j.eswa.2023.122697Article
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Pourmousavi, S. Ali and Acharya, U. Rajendra. 2024. "Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model." Engineering Applications of Artificial Intelligence. 132. https://doi.org/10.1016/j.engappai.2024.107918Article
Electricity demand error corrections with attention bi-directional neural networks
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2024. "Electricity demand error corrections with attention bi-directional neural networks." Energy. 291. https://doi.org/10.1016/j.energy.2023.129938Article
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy
Dsilva, Liora Rosvin, Tantri, Shivani Harish, Sampathila, Niranjana, Mayrose, Hilda, Bairy, G. Muralidhar, Belurkar, Sushma, Saravu, Kavitha, Chadaga, Krishnaraj and Hafeez-Baig, Abdul. 2024. "Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy." International Journal of Imaging Systems and Technology. 34 (1). https://doi.org/10.1002/ima.23020Article
The effects of artificial intelligence applications in educational settings: Challenges and strategies
Ali, Omar, Murray, Peter A., Momin, Mujtaba, Dwivedi, Yogesh K. and Howell, Tegwen. 2024. "The effects of artificial intelligence applications in educational settings: Challenges and strategies." Technological Forecasting and Social Change. 199. https://doi.org/10.1016/j.techfore.2023.123076Article
Predicting Co-Occurring Mental Health and Substance Use Disorders in Women: An Automated Machine Learning Approach
Acharya, Nirmal, Kar, Padmaja, Ally, Mustafa and Soar, Jeffrey. 2024. "Predicting Co-Occurring Mental Health and Substance Use Disorders in Women: An Automated Machine Learning Approach." Applied Sciences. 14 (4). https://doi.org/10.3390/app14041630Article
FedInverse: Evaluating Privacy Leakage in Federated Learning
Wu, Di, Bai, Jun, Song,Yiliao, Chen, Junjun, Zhou, Wei, Xiang, Yong and Sajjanhar, Atul. 2024. "FedInverse: Evaluating Privacy Leakage in Federated Learning." The Twelfth International Conference on Learning Representations. Vienna, Austria 07 - 11 May 2024 Austria.Paper
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. 2024. "Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey." IEEE Transactions on Artificial Intelligence. https://doi.org/10.1109/TAI.2024.3363670Article
Investigating School Absenteeism and Refusal among Australian Children and Adolescents using Apriori Association Rule Mining
Haque, Umme Marzia, Kabir, Enamul and Khanam, Rasheda. 2024. "Investigating School Absenteeism and Refusal among Australian Children and Adolescents using Apriori Association Rule Mining." Scientific Reports. 14. https://doi.org/10.1038/s41598-024-51230-4Article
Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia
Raj, Nawin and Prakash, Reema. 2024. "Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia." Sustainable Horizons . 11. https://doi.org/10.1016/j.horiz.2024.100098Article
Dynamic Task Allocation For Robotic Edge System Resilience Using Deep Reinforcement Learning
Afrin, Mahbuba, Jin, Jiong, Rahman, Ashfaqur, Li, Shi, Tian, Yu-Chuv and Li, Yan. 2024. "Dynamic Task Allocation For Robotic Edge System Resilience Using Deep Reinforcement Learning." IEEE Transactions on Systems, Man and Cybernetics: Systems. 54 (3), pp. 1438-1450. https://doi.org/10.1109/TSMC.2023.3327959Article
Applying the FAIR principles to the Drought Monitor to improve accessibility of data
Gacenga, Francis, An-Vo, Duc-Anh, McCulloch, Jillian and Cobon, David. 2024. "Applying the FAIR principles to the Drought Monitor to improve accessibility of data." 30th Conference of the Australian Meteorological and Oceanographic Society. Canberra, Australia 05 - 09 Feb 2024 Australia.Poster
Feature extraction and learning approaches for cancellable biometrics: A survey
Yang, Wencheng, Wang, Song, Hu, Jiankun, Tao, Xiaohui and Li, Yan. 2024. "Feature extraction and learning approaches for cancellable biometrics: A survey." CAAI Transactions on Intelligence Technology. 9 (1), pp. 4-25. https://doi.org/10.1049/cit2.12283Article