46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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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
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
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
PDGAN: A novel poisoning defense method in federated learning using generative adversarial network
Zhao, Ying, Chen, Junjun, Zhang, Jiale, Wu, Di, Teng, Jian and Yu, Shui. 2024. "PDGAN: A novel poisoning defense method in federated learning using generative adversarial network." 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2019). Melbourne, Australia 09 - 11 Dec 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-38991-8_39Paper
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
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Cai, Taotao, Lei, Qi, Sheng, Quan Z., Cui, Ningning, Yang, Shuiqiao, Yang, Jian, Zhang, Wei Emma and Mahmood, Adnan. 2024. "Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks." IEEE Transactions on Knowledge and Data Engineering. 36 (5), pp. 2151-2165. https://doi.org/10.1109/TKDE.2023.3316268Article
Assessment and Prediction of Sea Level and Coastal Wetland Changes in Small Islands Using Remote Sensing and Artificial Intelligence
Raj, Nawin and Pasfield-Neofitou, Sarah. 2024. "Assessment and Prediction of Sea Level and Coastal Wetland Changes in Small Islands Using Remote Sensing and Artificial Intelligence." Remote Sensing. 16 (3), p. 551. https://doi.org/10.3390/rs16030551Article
Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection
Tawhid, Md. Nurul Ahad, Siuly, Siuly, Kabir, Enamul and Li, Yan. 2024. "Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32, pp. 189-199. https://doi.org/10.1109/TNSRE.2023.3347032Article
Developing career-focused curriculum to improve high school perceptions of information systems careers
Genrich, Rohan, Toleman, Mark and Roberts, Dave. 2024. "Developing career-focused curriculum to improve high school perceptions of information systems careers." Hwang, Mark I. (ed.) Teaching Information Systems. Edward Elgar Publishing. pp. 159-192Edited book (chapter)
Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation
Colaco, A.F., Whelan, B.M., Bramley, R.G.V., Richetti, J., Fajardo, M., McCarthy, A.C., Perry, E.M., Bender, A., Leo, S., Fitzgerald, G.J. and Lawes, R.A.. 2024. "Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation ." Precision Agriculture. 25 (2), pp. 983-1013. https://doi.org/10.1007/s11119-023-10102-zArticle
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework
Jamei, Mozhdeh, Jamei, Mehdi, Ali, Mozhdeh, Karbasi, Masoud, Farooque, Aitazaz A., Malik, Anurag, Cheema, Saad Javed, Esau, Travis J. and Yaseen, Zaher Mundher. 2024. "Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework." Ecological Informatics. 80. https://doi.org/10.1016/j.ecoinf.2023.102455Article
Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy
Jamei, Mehdi, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Karbasi, Masoud, Malik, Anurag, Jamei, Mozhdeh and Yaseen, Zaher Mundher. 2024. "Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy ." Computers and Electronics in Agriculture. 217. https://doi.org/10.1016/j.compag.2023.108609Article
Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks
Ali, Mumtaz, Prasad, Ramendra, Jamei, Mehdi, Malik, Anurag, Xiang, Yong, Abdulla, Shahab, Deo, Ravinesh C., Farooque, Aitazaz A. and Labban, Abdulhaleem H.. 2024. "Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks." Renewable Energy. 221. https://doi.org/10.1016/j.renene.2023.119773Article
Accurate monitoring of micronutrients in tilled potato soils of eastern Canada: Application of an eXplainable inspired-adaptive boosting framework coupled with SelectKbest
Jamei, Mehdi, Ali, Mumtaz, Afzaal, Hassan, Karbasi, Masoud, Malik, Anurag, Farooque, Aitazaz Ahsan, Haydar, Zeeshan and Zaman, Qamar Uz. 2024. "Accurate monitoring of micronutrients in tilled potato soils of eastern Canada: Application of an eXplainable inspired-adaptive boosting framework coupled with SelectKbest." Computers and Electronics in Agriculture. 216. https://doi.org/10.1016/j.compag.2023.108479Article
Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine
Jamei, Mehdi, Sharma, Prabhakar, Ali, Mumtaz, Bora, Bhaskor J., Malik, Anurag, Paramasivam, Prabhu, Farooque, Aitazaz A. and Abdulla, Shahab. 2024. "Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine." Energy. 288. https://doi.org/https://doi.org/10.1016/j.energy.2023.129862Article
Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition
Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi and Yaseen, Zaher Mundher. 2024. "Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition." Alexandria Engineering Journal. 86, pp. 425-442. https://doi.org/10.1016/j.aej.2023.11.061Article
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao, Hai, Abba, Sani I., Al-Areeq, Ahmed M., Tangang, Fredolin, Samantaray, Sandeep, Sahoo, Abinash, Siqueira, Hugo Valadares, Maroufpoor, Saman, Demir, Vahdettin, Bokde, Neeraj Dhanraj, Goliatt, Leonardo, Jamei, Mehdi, Ahmadianfar, Iman, Bhagat, Suraj Kumar, Halder, Bijay, Guo, Tianli, Helman, Daniel S., Ali, Mumtaz, Sattar, Sabaa, ..., Yaseen, Zaher Mundher. 2024. "Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions ." Engineering Applications of Artificial Intelligence. 129. https://doi.org/10.1016/j.engappai.2023.107559Article
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