46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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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
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/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/1016/j.compag.2023.108609Article
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
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
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
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
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
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
A study of plithogenic graphs: applications in spreading coronavirus disease (COVID-19) globally
Sultana, Fazeelat, Gulistan, Muhammad, Ali, Mumtaz, Yaqoob, Naveed, Khan, Muhammad, Rashid, Tabasam and Ahmed, Tauseef. 2023. "A study of plithogenic graphs: applications in spreading coronavirus disease (COVID-19) globally ." Journal of Ambient Intelligence and Humanized Computing. 14 (10), p. 13139–13159. https://doi.org/10.1007/s12652-022-03772-6Article
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
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), pp. 1-26. https://doi.org/https://doi.org/10.3390/w15040694Article
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
Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions
Fahmideh, Mahdi, Grundy, John, Ahmad, Aakash, Shen, Jun, Yan, Jun, Mougouei, Davoud, Wang, Peng, Ghose, Aditya, Gunawardana, Anuradha, Aickelin, Uwe and Abedin, Babak. 2023. "Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions ." ACM Computing Surveys. 55 (6), pp. 1-44. https://doi.org/10.1145/3530813Article
Leveraging Emotional and Artificial Intelligence for Organisational Performance
Prentice, Catherine. 2023. Leveraging Emotional and Artificial Intelligence for Organisational Performance. Singapore. Springer.Authored book
Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network." Biomedical Signal Processing and Control. 82. https://doi.org/10.1016/j.bspc.2022.104566Article
Dynamic Correlation Adjacency Matrix Based Graph Neural Network for Traffic Flow Prediction
Gu, Junhua, Jia, Zhihao, Cai, Taotao, Song, Xiangyu and Mahmood, Adnan. 2023. "Dynamic Correlation Adjacency Matrix Based Graph Neural Network for Traffic Flow Prediction." Sensors. 23 (6). https://doi.org/10.3390/s23062897Article
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach
Riaz, Farina, Abdulla, Shahab, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C. and Hopkins, Susan. 2023. "Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach." Sensors. 23 (5), pp. 1-11. https://doi.org/10.3390/s23052753Article
Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression
Deo, Ravinesh C., Ahmed, A.A. Masrur, Casillas-Perez, David, Pourmousavi, S. Ali, Segal, Gary, Yu, Yanshan and Salcedo-sanz, Sancho. 2023. "Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression." Renewable Energy. 203, pp. 113-130. https://doi.org/10.1016/j.renene.2022.12.048Article
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
First 5 Forever Evaluation Overview
Woolcock, Geoff and Osborne, Caroline. 2023. First 5 Forever Evaluation Overview. Australia. State Library of Queensland.Project report