46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Contrasting Delivery Models for Authentic, Team-Based IoT Learning Activities
Kist, Alexander, Hills, Catherine, Maiti, Ananda, Byrne, Terry and Landers, Richard. 2024. "Contrasting Delivery Models for Authentic, Team-Based IoT Learning Activities." 2023 6th Experiment@ International Conference (exp.at'23). Évora, Portugal 05 - 07 Jun 2023 Portugal. https://doi.org/10.1109/exp.at2358782.2023.10545803Paper
A Reconfigurable Strategy for Internet-of-Things for Smart Buildings
Yang, Xichun, Maiti, Ananda and Kist, Alexander. 2024. "A Reconfigurable Strategy for Internet-of-Things for Smart Buildings." 20th International Conference on Remote Engineering and Virtual Instrumentation (REV2023). Thessaloniki, Greece 01 - 03 Mar 2023 Switzerland . Springer. https://doi.org/10.1007/978-3-031-42467-0_74Paper
Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2024. "Two-step deep learning framework with error compensation technique for short-term, half-hourly electricity price forecasting." Applied Energy. 353 (Part A). https://doi.org/10.1016/j.apenergy.2023.122059Article
Adaptive Regularization and Resilient Estimation in Federated Learning
Uddin, Md Palash, Xiang, Yong, Zhao, Yao, Ali, Mumtaz, Zhang, Yushu and Gao, Longxiang. 2024. "Adaptive Regularization and Resilient Estimation in Federated Learning." IEEE Transactions on Services Computing. 17 (4), pp. 1369-1381. https://doi.org/10.1109/TSC.2023.3332703Article
Validation and Interpretation of a Multimodal Drowsiness Detection System Using Explainable Machine Learning
Hasan, Md Mahmudul, Watling, Christopher N. and Larue, Grégoire S.. 2024. "Validation and Interpretation of a Multimodal Drowsiness Detection System Using Explainable Machine Learning." Computer Methods and Programs in Biomedicine. 243. https://doi.org/10.1016/j.cmpb.2023.107925Article
Internet governance and cyber-security: a systematic literature review
Yusif, Salifu, Hafeez-Baig, Abdul and Anachanser, Charles. 2024. "Internet governance and cyber-security: a systematic literature review." Information Security Journal: a Global Perspective. 33 (2), pp. 158-171. https://doi.org/10.1080/19393555.2023.2268608Article
Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs
Yu, Ting, Jiang, Ting, Bah, Mohamed Jaward, Zhao, Chen, Huang, Hao, Liu, Mengchi, Zhou, Shuigeng, Li, Zhao and Zhang, Ji. 2024. "Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs." IEEE Transactions on Knowledge and Data Engineering. 36 (4), pp. 1650-1666. https://doi.org/10.1109/TKDE.2023.3311398Article
Pyramid style-attentional network for arbitrary style transfer
Yang, Gaoming, Zhang, Shicheng, Fang, Xianjin and Zhang, Ji. 2024. "Pyramid style-attentional network for arbitrary style transfer." Multimedia Tools and Applications. 83 (5), pp. 3483-13502. https://doi.org/10.1007/s11042-023-15650-0Article
Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation
Wang, Zhen, Zhang, Yang, Pang, Yan, Wang, Nannan, Bah, Mohamed Jaward, Li, Ke and Zhang, Ji. 2024. "Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation." IEEE Transactions on Neural Networks and Learning Systems. 35 (12), pp. 17504-7518. https://doi.org/10.1109/TNNLS.2023.3305542Article
A graph-powered large-scale fraud detection system
Li, Zhao, Wang, Biao, Huang, Jiaming, Jin, Yilun, Xu, Zenghui, Zhang, Ji and Gao, Jianliang. 2024. "A graph-powered large-scale fraud detection system." International Journal of Machine Learning and Cybernetics. 15 (1), p. 115–128. https://doi.org/10.1007/s13042-023-01786-wArticle
Class-Level Logit Perturbation
Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2024. "Class-Level Logit Perturbation." IEEE Transactions on Neural Networks and Learning Systems. 35 (10), pp. 13926-13940. https://doi.org/10.1109/TNNLS.2023.3273355Article
CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection
Gao, Jianliang, Chen, Jiamin, Oloulade, Babatounde Moctard, Al-Sabri, Raeed, Lyu, Tengfei, Zhang, Ji and Li, Zhao. 2024. "CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection." IEEE Transactions on Emerging Topics in Computing. 12 (2), pp. 444-454. https://doi.org/10.1109/TETC.2023.3270181Article
Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Karimi, Bakhtiar, Jahannemaei, Neshat, Farooque, Aitazaz Ahsan and Yaseen, Zaher Mundher. 2024. "Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR." Expert Systems with Applications. 237 (Part B). https://doi.org/10.1016/j.eswa.2023.121512Article
Trajectory Analysis of the Hayabusa2 Capsule from a Single Airborne Observation
Zander, Fabian, Buttsworth, David R., Birch, Byrenn and Payne, Allan. 2024. "Trajectory Analysis of the Hayabusa2 Capsule from a Single Airborne Observation." Journal of Spacecraft and Rockets. 61 (1). https://doi.org/10.2514/1.A35719Article
Distributed agent-based deep reinforcement learning for large scale traffic signal control
Wu, Qiang, Wu, Jianqing, Shen, Jun, Du, Bo, Telikani, Akbar, Fahmideh, Mahdi and Liang, Chao. 2024. "Distributed agent-based deep reinforcement learning for large scale traffic signal control ." Knowledge-Based Systems. 241. https://doi.org/10.1016/j.knosys.2022.108304Article
Safety and quality within the healthcare supply chain: a great unknown
Smith, Sean, Lane, Michael, Toleman, Mark and Shrestha, Anup. 2024. "Safety and quality within the healthcare supply chain: a great unknown." 19th World Congress on Medical and Health Informatics (MEDINFO 2023). Sydney, Australia 08 - 12 Jul 2023 Australia. IOP Publishing. https://doi.org/10.3233/SHTI230988Paper
Digital economy: Development of information and communication technologies in a sustainable economic environment (Eds.)
Chan, Ka Ching, Lee, Angela Siew Hoong and Chimhundu, Ranga. 2023. "Digital economy: Development of information and communication technologies in a sustainable economic environment (Eds.)." Sustainability.Editorial
Agile Practices for Quantum Software Development: Practitioners' Perspectives
Khan, Arif Ali, Akbar, Muhammad Azeem, Ahmad, Aakash, Fahmideh, Mahdi, Shameem, Mohammad, Lahtinen, Valtteri, Waseem, Muhammad and Mikkonen, Tommi. 2023. "Agile Practices for Quantum Software Development: Practitioners' Perspectives." 2023 IEEE International Conference on Quantum Software (QSW). Chicago, United States 02 - 08 Jul 2023 United States. https://doi.org/0.1109/QSW59989.2023.00012Paper
A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Ali, Omar, Abdelbaki, Wiem, Shrestha, Anup, Elbasi, Ersin, Ali, Mohammad Abdallah and Dwivedi, Yogesh K. 2023. "A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities." Journal of Innovation and Knowledge. 8 (1). https://doi.org/10.1016/j.jik.2023.100333Article
Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study
Ibrahim, Hekmat, Yaseen, Zaher Mundher, Scholz, Miklas, Ali, Mumtaz, Gad, Mohamed, Elsayed, Salah, Khadr, Mosaad, Hussein, Hend, Ibrahim, Hazem H., Eid, Mohamed Hamdy, Kovács, Attila, Péter, Szűcs and Khalifa, Moataz M.. 2023. "Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study." Water. 15 (4). https://doi.org/10.3390/w15040694Article
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Sharma, Ekta, Jamei, Mozhdeh, Chu, Xuefeng and Yaseen, Zaher Mundher. 2023. "A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture." Engineering Applications of Artificial Intelligence. 120. https://doi.org/10.1016/j.engappai.2023.105895Article
Optical aerodynamic measurements of hypersonic free-flight using Bayesian state estimation
Lock, Andrew, Armstrong, Gerard, Hack, Flynn, Birch, Byrenn, Buttsworth, David and Jahn, Ingo. 2023. "Optical aerodynamic measurements of hypersonic free-flight using Bayesian state estimation." AIAA Aviation 2023 Forum . San Diego, United States 12 202 - 16 Jun 2023 United States. American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2023-3713Paper
Leveraging Emotional and Artificial Intelligence for Organisational Performance
Prentice, Catherine. 2023. Leveraging Emotional and Artificial Intelligence for Organisational Performance. Singapore. Springer.Authored book
Exploring the Role of Emotional Intelligence and Artificial Intelligence on Luxury Value and Customer-Based Outcomes
Dominique-Ferreira, Sérgio Dominique-Ferreira, Gomes, Helena, Brito, Pedro Quelhas and Prentice, Catherine. 2023. "Exploring the Role of Emotional Intelligence and Artificial Intelligence on Luxury Value and Customer-Based Outcomes." 2022 International Conference in Information Technology and Education (ICITED’22). Rio de Janeiro, Brazil 14 - 16 Jul 2022 Singapore. Springer. https://doi.org/10.1007/978-981-19-6585-2_48Paper
Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network
Zhu, Yifan, Lin, Qika, Lu, Hao, Shi, Kaize, Liu, Donglei, Chambua, James, Wang, Shanshan and Niu, Zhendong. 2023. "Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network ." IEEE Transactions on Knowledge and Data Engineering. 35 (4), pp. 4178-4189. https://doi.org/10.1109/TKDE.2021.3125424Article
AMR-TST: Abstract Meaning Representation-based Text Style Transfer
Shi, Kaize, Sun, Xueyao, He, Li, Wang, Dingxian, Li, Qing and Xu, Guandong. 2023. "AMR-TST: Abstract Meaning Representation-based Text Style Transfer." Findings of the Association for Computational Linguistics: ACL 2023. Toronto, Canada 09 - 14 Jul 2023 Canada.Paper
Multiple knowledge-enhanced meteorological social briefing generation
Shi, Kaize, Peng, Xueping, Lu, Hao, Zhu, Yifan and Niu, Zhendong. 2023. "Multiple knowledge-enhanced meteorological social briefing generation." IEEE Transactions on Computational Social Systems. 11 (2), pp. 2002-2013. https://doi.org/10.1109/TCSS.2023.3298252Article
MTSTI: A multi-task learning framework for spatiotemporal imputation
Chen, Yakun, Shi, Kaize, Wang, Xianzhi and Xu, Guandong. 2023. "MTSTI: A multi-task learning framework for spatiotemporal imputation." 19th International Conference on Advanced Data Mining and Applications (ADMA'23). Shenyang, China 21 - 23 Aug 2023 Switzerland. Springer. https://doi.org/10.1007/978-3-031-46677-9_13Paper
Automated mapping of early Fall armyworm (FAW) damage in sweet corn and maize using machine vision
Humpal, Jacob and McCarthy, Alison. 2023. Automated mapping of early Fall armyworm (FAW) damage in sweet corn and maize using machine vision. Australia. University of Southern Queensland. https://doi.org/10.26192/zzyz7Technical report
Adoption of sustainable practices by YMCA Southeast Queensland
Thomson, Amy, Mai, Hang, Ferdous, Jinnat, Wang, Shuting, Gallegos-Rejas, Victor and Doherty, Skye. 2023. Adoption of sustainable practices by YMCA Southeast Queensland. Australia. University of Queensland. https://doi.org/10.14264/c5ebe8dDiscussion paper
Optimizing taxi route planning based on taxi trajectory data analysis
Yang, Xinyi, Chen, Zhi and Luo, Yadan. 2023. "Optimizing taxi route planning based on taxi trajectory data analysis." 34th Australasian Database Conference (ADC 2023). Melbourne, Australia 01 202 - 03 Nov 2023 Switzerland . Springer. https://doi.org/10.1007/978-3-031-47843-7_4Paper
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error
Wang, Zixin, Luo, Yadan, Chen, Zhi, Wang, Sen and Huang, Zi. 2023. "Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error." 31st ACM International Conference on Multimedia (MM '23). Ottawa, Canada 29 Oct 202 - 03 Nov 2023 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3581783.3611808Paper
Zero-Shot Learning by Harnessing Adversarial Samples
Chen, Zhi, Zhang, Pengfei, Li, Jingjing, Wang, Sen and Huang, Zi. 2023. "Zero-Shot Learning by Harnessing Adversarial Samples." 31st ACM International Conference on Multimedia (MM '23). Ottawa, Canada 29 Oct 202 - 03 Nov 2023 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3581783.3611823Paper
Analysis and Protection of Public Medical Dataset: From Privacy Perspective
Jahan, Samsad, Ge, Yong-Feng, Kabir, Enamul and Wang, Hua. 2023. "Analysis and Protection of Public Medical Dataset: From Privacy Perspective." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Singapore. https://doi.org/10.1007/978-981-99-7108-4_7Paper
Student Perceptions of ChatGPT Through an Expectancy Value Theory
Sankaran, Prema, Deshbhag, Raksha, Durbha, Krishna, Gururajan, Raj and Zhou, Xujuan. 2023. "Student Perceptions of ChatGPT Through an Expectancy Value Theory." 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Venice, Italy 26 - 29 Oct 2023 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/WI-IAT59888.2023.00089Paper
Entity alignment via graph neural networks: a component-level study
Shu, Yanfeng, Zhang, Ji, Huang, Guangyan, Chi, Chi-Hung and He, Jing. 2023. "Entity alignment via graph neural networks: a component-level study." World Wide Web. 26 (6), pp. 4069-4092. https://doi.org/10.1007/s11280-023-01221-8Article
SARW: Similarity-Aware Random Walk for GCN
Hou, Linlin, Zhang, Haixiang, Hou, Qing-Hu, Guo, Alan J.X., Wu, Ou, Yua, Ting and Zhang, Ji. 2023. "SARW: Similarity-Aware Random Walk for GCN." Intelligent Data Analysis. 27 (6), pp. 1615 -1636. https://doi.org/10.3233/IDA-227085Article
Thinking space generation using context-enhanced knowledge fusion for systematic brain computing
Kuai, Hongzhi, Tao, Xiaohui and Zhong, Ning. 2023. "Thinking space generation using context-enhanced knowledge fusion for systematic brain computing." Web Intelligence. 21 (4), pp. 345-361. https://doi.org/10.3233/WEB-220089Article
BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients
Sutradhar, Ananda, Al Rafi, Mustahsin, Shamrat, F M Javed Mehedi, Ghosh, Pronab, Das, Subrata, Islam, MdAnaytul, Ahmed, Kawsar, Zhou, Xujuan, Azad, A. K. M, Alyami, Salem A. and Moni, Mohammad Ali. 2023. "BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-48486-7Article
Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification
Jaworsky, Markian, Tao, Xiaohui, Yong, Jianming, Pan, Lei, Zhang, Ji and Pokhrel, Shiva Raj. 2023. "Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Singapore. https://doi.org/10.1007/978-981-99-7108-4_10Paper