46. Information and Computing Sciences
Title | 46. Information and Computing Sciences |
---|---|
Parent | ANZSRC Field of Research |
Latest research outputs
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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
A topic modeling-based bibliometric exploration of automatic summarization research
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Xu, Lingling, Wang, Jingjing, Dai, Hong-Ning and Wang, Fu Lee. 2024. "A topic modeling-based bibliometric exploration of automatic summarization research." WIREs Data Mining and Knowledge Discovery. 14 (5). https://doi.org/10.1002/widm.1540Article
The dark side of artificial intelligence in marketing: meta-analytics review
Barari, Mojtaba, Ferm, Lars-Erik Casper, Quach, Sara, Thaichon, Park and Ngo, Liem. 2024. "The dark side of artificial intelligence in marketing: meta-analytics review." Marketing Intelligence and Planning. 42 (7), pp. 1234-1256. https://doi.org/10.1108/MIP-09-2023-0494Article
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps
Bagherzadeh, Sara, Shalbaf, Ahmad, Shoeibi, Afshin, Jafari, Mahboobeh, Tan, Ru-San and Acharya, U. Rajendra. 2024. "Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps." IEEE Access. 12, pp. 50949-50965. https://doi.org/10.1109/ACCESS.2024.3384303Article
Epidemiological passport system requirements: a roadmap for international travel and tourism recovery
Ali, Omar, Ashtaiwi, AbdulAdhim, Jaradat, Ashraf and Soar, Jeffrey. 2024. "Epidemiological passport system requirements: a roadmap for international travel and tourism recovery." Cogent Social Sciences. 10 (1). https://doi.org/10.1080/23311886.2024.2364518Article
Automated reading level classification model based on improved orbital pattern
Abed, Rusul Qasim, Dikmen, Melih, Aydemir, Emrah, Barua, Prabal Datta, Dogan, Sengul, Tuncer, Turker, Palmer, Elizabeth Emma, Ciaccio, Edward J. and Acharya, U. Rajendra. 2024. "Automated reading level classification model based on improved orbital pattern." Multimedia Tools and Applications. 83 (17), pp. 52819-52840. https://doi.org/10.1007/s11042-023-17535-8Article
EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices
Cao, Sicong, Sun, Xiaobing, Liu, Wei, Wu, Di, Zhang, Jiale, Li, Yan, Luan, Tom H. and Gao, Longxiang. 2024. "EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices ." IEEE Internet of Things Journal. 11 (12), pp. 22385-22398. https://doi.org/10.1109/JIOT.2024.3381641Article
Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion
Zhang, Kexin, Zhao, Xuezhuan, Chen, Yu, Wu, Di, Cai, Taotao, Wang, Yi, Li, Lingling and Zhang, Ji. 2024. "Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion." International Journal of Electrochemical Science. 19 (5). https://doi.org/10.1016/j.ijoes.2024.100558Article
Leveraging edge artificial intelligence for sustainable agriculture
El Jarroudi, Moussa, Kouadio, Louis, Delfosse, Philippe, Bock, Clive H., Mahlein, Anne-Katrin, Fettweis, Xavier, Mercatoris, Benoit, Adams, Frank, Lenné, Jillian M. and Hamdioui, Said. 2024. "Leveraging edge artificial intelligence for sustainable agriculture." Nature Sustainability. 7, pp. 846-854. https://doi.org/10.1038/s41893-024-01352-4Article
Power spectral density-based resting-state EEG classification of first-episode psychosis
Redwan, Sadi Md., Uddin, Md Palash, Ulhaq, Anwaar, Sharif, Muhammad Imran and Krishnamoorthy, Govind. 2024. "Power spectral density-based resting-state EEG classification of first-episode psychosis." Scientific Reports. 14. https://doi.org/10.1038/s41598-024-66110-0Article
Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm
Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi, Farooque, Aitazaz Ahsan and Yaseen, Zaher Mundher. 2024. "Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm." Scientific Reports. 14. https://doi.org/10.1038/s41598-024-65837-0Article
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
Deep Learning-Assisted Sensitive 3C-SiC Sensor for Long-Term Monitoring of Physical Respiration
Tran, Thi Lap, Nguyen, Duy Van, Nguyen, Hung, Nguyen, Thi Phuoc Van, Song, Pingan, Deo, Ravinesh C, Moloney, Clint, Dao, Viet Dung, Nguyen, Nam-Trung and Dinh, Toan. 2024. "Deep Learning-Assisted Sensitive 3C-SiC Sensor for Long-Term Monitoring of Physical Respiration." Advanced Sensor Research. 3 (8). https://doi.org/10.1002/adsr.202300159Article
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/10.3390/w16111560Article
AI Literacy: Principles for Ethical Generative Artificial Intelligence
Eacersall, Douglas. 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
Challenges of using tibia bone ash and toe ash as biomarkers of phosphorus nutrition for meat chickens
Li, X., Zou, Z., Zhang, Z.W., Zhang, D., Huang, K.H. and Bryden, W.L.. 2024. "Challenges of using tibia bone ash and toe ash as biomarkers of phosphorus nutrition for meat chickens." Journal of Applied Animal Nutrition. 12 (1), pp. 40-54. https://doi.org/10.1163/2049257X-20231004Article
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. 36 (10), pp. 5153-5167. 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. 20 (6), pp. 1101-1121. https://doi.org/10.1108/SRJ-05-2023-0295Article