46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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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. 2023. "CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection." IEEE Transactions on Emerging Topics in Computing. https://doi.org/10.1109/TETC.2023.3270181Article
Indigenous systems knowledge applied to protocols for governance and inquiry
Fletcher, Gabrielle, Waters, Joshua, Yunkaporta, Tyson, Marshall, Chels, Davis, John and Bancroft, Jack Manning. 2023. "Indigenous systems knowledge applied to protocols for governance and inquiry." Systems Research and Behavioral Science. 40 (4), pp. 757-760. https://doi.org/10.1002/sres.2932Article
Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks
Cui, Hui, Yang, Xuechao, Yang, Wencheng, Qin, Baodong and Yi, Xun. 2023. "Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks." IEEE Transactions on Network Science and Engineering. 10 (4), pp. 2347-2357. https://doi.org/10.1109/TNSE.2023.3246439Contribution to Journal
Users' Experiences in a Regional Academic Library Makerspace
Bell, Emilia C., Piper, Stephanie and O'Sullivan, Carmel. 2023. "Users' Experiences in a Regional Academic Library Makerspace." Journal of the Australian Library and Information Association. 72 (2), pp. 135-149. https://doi.org/10.1080/24750158.2023.2202512Article
Redefining procurement paradigms: A critical review of buyer-supplier dynamics in the global petroleum and natural gas industry
Alhammadi, Ali, Soar, Jeffrey, Yusaf, Talal, Ali, Bashar Mahmood and Kadirgama, Kumaran. 2023. "Redefining procurement paradigms: A critical review of buyer-supplier dynamics in the global petroleum and natural gas industry." The Extractive Industries and Society. 16. https://doi.org/10.1016/j.exis.2023.101351Article
Comparison of CNN-based deep learning architectures for rice diseases classification
Ahad, Md Taimur, Li, Yan, Song, Bo and Bhuiyan, Touhid. 2023. "Comparison of CNN-based deep learning architectures for rice diseases classification." Artificial Intelligence in Agriculture. 9, pp. 22-35. https://doi.org/10.1016/j.aiia.2023.07.001Article
Towards Human-Bot Collaborative Software Architecting with ChatGPT
Ahmad, Aakash, Waseem, Muhammad, Liang, Peng, Fahmideh, Mahdi, Aktar, Mst Shamima and Mikkonen, Tommi. 2023. "Towards Human-Bot Collaborative Software Architecting with ChatGPT." 27th International Conference on Evaluation and Assessment in Software Engineering (EASE 2023). Oulu, Finland 14 - 16 Jun 2023 United States. https://doi.org/10.1145/3593434.3593468Paper
A drought monitor for Australia
Guillory, Laura, Pudmenzky, Christa, Nguyen-Huy, Thong, Cobon, David and Stone, Roger. 2023. "A drought monitor for Australia." Environmental Modelling and Software. 170. https://doi.org/10.1016/j.envsoft.2023.105852Article
Evaporation and soil moisture prediction with artificial intelligence and deep learning methods
Jayasinghe Mudiyanselage, W.J.M. Lakmini Prarthana. 2023. Evaporation and soil moisture prediction with artificial intelligence and deep learning methods. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z1zw4PhD by Publication
Emergent Systems: Virtuality, Legality, Formality
Hourigan, Daniel. 2023. "Emergent Systems: Virtuality, Legality, Formality ." Mitchell, Daniel, Pearson, Ashley and Peters, Timothy D. (ed.) Law, Video Games, Virtual Realities: Playing Law. United Kingdom. Routledge. pp. 95-110Edited book (chapter)
New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes
Ali, Mumtaz, Jamei, Mehdi, Prasad, Ramendra, Karbasi, Masoud, Xiang, Yong, Cai, Borui, Abdulla, Shahab, Farooque, Aitazaz Ahsan and Labban, Abdulhaleem H.. 2023. "New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes." Ecological Indicators. 155. https://doi.org/10.1016/j.ecolind.2023.111030Article
Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.107022Article
Information and communications technology (ICT) project investments: A work-based research study investigating developing ICT Core Competence and Competitive Advantage in the Malaysian Manufacturing Sector
Loh, Kok Hong. 2023. Information and communications technology (ICT) project investments: A work-based research study investigating developing ICT Core Competence and Competitive Advantage in the Malaysian Manufacturing Sector. Doctorate other than PhD Doctor of Professional Studies. University of Southern Queensland. https://doi.org/10.26192/z1v0vDoctorate other than PhD
Managing Operational Information and Intelligence using knowledge management principles: A work based study at Queensland Police Service
White, Craig. 2023. Managing Operational Information and Intelligence using knowledge management principles: A work based study at Queensland Police Service. Doctorate other than PhD Doctor of Professional Studies. University of Southern Queensland. https://doi.org/10.26192/z1qz5Doctorate other than PhD
Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables." Energy and AI. 14. https://doi.org/10.1016/j.egyai.2023.100302Article
Prediction of Water Quality in Reservoirs: A Comparative Assessment of Machine Learning and Deep Learning Approaches in the Case of Toowoomba, Queensland, Australia
Farzana, Syeda Zehan, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2023. "Prediction of Water Quality in Reservoirs: A Comparative Assessment of Machine Learning and Deep Learning Approaches in the Case of Toowoomba, Queensland, Australia." Geosciences. 13 (293). https://doi.org/10.3390/geosciences13100293Article
Mental stress recognition on the fly using neuroplasticity spiking neural networks
Weerasinghe, Mahima Milinda Alwis, Wang, Grace, Whalley, Jacqueline and Crook-Rumsey, Mark. 2023. "Mental stress recognition on the fly using neuroplasticity spiking neural networks." Scientific Reports. 13. https://doi.org/10.1038/s41598-023-34517-wArticle
A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network
Ra, Jee Sook, Li, Tianning and Li, Yan. 2023. "A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network." Computer Methods and Programs in Biomedicine. 240. https://doi.org/https://doi.org/10.1016/j.cmpb.2023.107678Article
Artificial Intelligence in the Interpretation of Videofluoroscopic Swallow Studies: Implications and Advances for Speech–Language Pathologists
Girardi, Anna M., Cardell, Elizabeth A. and Bird, Stephen P.. 2023. "Artificial Intelligence in the Interpretation of Videofluoroscopic Swallow Studies: Implications and Advances for Speech–Language Pathologists ." Big Data and Cognitive Computing. 7 (4). https://doi.org/10.3390/bdcc7040178Article
Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation
Zheng, Zihao, Ali, Mumtaz, Jamei, Mehdi, Xiang, Yong, Abdulla, Shahab, Yaseen, Zaher Mundher and Farooque, Aitazaz A.. 2023. "Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation." Renewable and Sustainable Energy Reviews. 185. https://doi.org/https://doi.org/10.1016/j.rser.2023.113645Article
Video face forgery detection via facial motion-assisted capturing dense optical flow truncation
Yang, Gaoming, Xu, Kun, Fang, Xianjin and Zhang, Ji. 2023. "Video face forgery detection via facial motion-assisted capturing dense optical flow truncation." The Visual Computer. 39 (11), pp. 5589-5608. https://doi.org/10.1007/s00371-022-02683-zArticle
RSFace: subject agnostic face swapping with expression high fidelity
Yang, Gaoming, Wang, Tao, Fang, Xianjin and Zhang, Ji. 2023. "RSFace: subject agnostic face swapping with expression high fidelity." The Visual Computer. 39 (11), pp. 5497-5511. https://doi.org/10.1007/s00371-022-02675-zArticle
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals
WeiKoh, Joel En, Rajinikanth, Venkatesan, Vicnesh, Jahmunah, Pham, The-Hanh, Oh, Shu Lih, Yeong, Chai Hong, Sankaranarayanan, Meena, Kamath, Aditya, Bairy, Giliyar Muralidhar, Barua, Prabal Datta and Cheong, Kang Hao. 2022. "Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals." Expert Systems: the journal of knowledge engineering. 41 (5). https://doi.org/10.1111/exsy.12957Article
Critical Success Factors Classification Framework for Measuring Maturity of Organisations using New Generation ERP Systems: A Systematic Literature Review
Wong, Wai Yip Freddy and Lane, Michael. 2023. "Critical Success Factors Classification Framework for Measuring Maturity of Organisations using New Generation ERP Systems: A Systematic Literature Review." Fernandez, Walter, Nandhakumar and Santhanam, Radhika (ed.) 44th International Conference on Information Systems (ICIS 2023). Hyderbad, India 10 - 13 Dec 2023 Hyderbad, India.Paper
Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja and Schuller, Bjorn W.. 2023. "Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition ." IEEE Transactions on Affective Computing. 14 (4), pp. 3164-3176. https://doi.org/10.1109/TAFFC.2022.3221749Article
Automatic sleep spindles identification and classification with multitapers and convolution
Zapata, Ignacio, Wen, Peng, Jones, Evan, Fjaagesund, Shauna and Li, Yan. 2023. "Automatic sleep spindles identification and classification with multitapers and convolution." Sleep. 47 (1). https://doi.org/10.1093/sleep/zsad159Article
Build Smart Grids on Artificial Intelligence − A Real-world Example
You, Shutang, Li, Hongyu, Liu, Shengyuan, Sun, Kaiqi, Zhao, Yinfeng, Xiao, Huangqing, Dong, Jiaojiao, Su, Yu, Wang, Weikang, Cui, Yi, Yin, He, Tan, Jin and Liu, Yilu. 2023. "Build Smart Grids on Artificial Intelligence − A Real-world Example." Applications of Big Data and Artificial Intelligence in Smart Energy Systems Smart Energy System: Design and its State-of-The Art Technologies. River Publishers. pp. 193-220Edited book (chapter)
Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Rai, Priya, Karbasi, Masoud, Farooque, Aitazaz A. and Yaseen, Zaher Mundher. 2023. "Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting." Ecological Indicators. 153. https://doi.org/https://doi.org/10.1016/j.ecolind.2023.110478Article
Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia
Raj, Nawin and Brown, Jason. 2023. "Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia." Remote Sensing. 15 (11).Article
A method for reversing the effect of digital image blurring: a space domain investigation
Scarmana, G.. 2023. "A method for reversing the effect of digital image blurring: a space domain investigation." 12th International Symposium on Mobile Mapping Technology (MMT 2023). Padua, Italy 24 - 26 May 2023 Italy. https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-431-2023Paper
Development of high-resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models
Tao, Hai, Al-Sulttani, Ahmed H., Salih, Sinan Q., Mohammed, Mustafa K.A., Khan, Mohammad Amir, Beyaztas, Beste Hamiye, Ali, Mumtaz, Elsayed, Salah, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2023. "Development of high-resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models." Atmospheric Research. 291, pp. 1-13. https://doi.org/https://doi.org/10.1016/j.atmosres.2023.106815Article
Design Principles for Platform Enabled Knowledge Commons with an Expository Instantiation
Ramakrishnan, Muralidharan, Gregor, Shirley, Shrestha, Anup and Soar, Jeffrey. 2023. "Design Principles for Platform Enabled Knowledge Commons with an Expository Instantiation." Journal of the Association of Information Systems. 24 (5), pp. 1413-1438.Article
The Integral Role of Intelligent IoT System, Cloud Computing, Artificial Intelligence, and 5G in the User-Level Self-Monitoring of COVID-19
Ahmed, Sajjad, Yong, Jianming and Shrestha, Anup. 2023. "The Integral Role of Intelligent IoT System, Cloud Computing, Artificial Intelligence, and 5G in the User-Level Self-Monitoring of COVID-19." Electronics. 12 (8), pp. 1-24. https://doi.org/10.3390/electronics12081912Article
A systematic review of literature on credit card cyber fraud detection using machine and deep learning
Marazqah Btoush, Eyad Abdel Latif, Zhou, Xujuan, Gururajan, Raj, Chan, Ka Ching, Genrich, Rohan and Sankaran, Prema. 2023. "A systematic review of literature on credit card cyber fraud detection using machine and deep learning." PeerJ Computer Science. 9 (1). https://doi.org/10.7717/peerj-cs.1278Article
Research Data Management Framework for Institutions
ARDC. 2023. Research Data Management Framework for Institutions. Australia. Zenodo. https://doi.org/10.5281/zenodo.6392340Technical report
Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm
Jamei, Mehdi, Ali, Mumtaz, Jun, Changhyun, Bateni, Sayed M., Karbasi, Masoud, Farooque, Aitazaz A. and Yaseen, Zaher Mundher. 2023. "Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm." Atmospheric Pollution Research. 14 (6). https://doi.org/10.1016/j.apr.2023.101752Article
Machine Learning Algorithms for High-Resolution Prediction of Spatiotemporal Distribution of Air Pollution from Meteorological and Soil Parameters
Tao, Hai, Jawad, Ali H., Shather, A.H., Al-Khafaji, Zainab Al, Rashid, Tarik A., Ali, Mumtaz, Al-Ansari, Nadhir Al, Marhoon, Haydar Abdulameer, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2023. "Machine Learning Algorithms for High-Resolution Prediction of Spatiotemporal Distribution of Air Pollution from Meteorological and Soil Parameters." Environment International. 175, pp. 1-17. https://doi.org/https://doi.org/10.1016/j.envint.2023.107931Article
Topic Integrated Opinion-Based Drug Recommendation With Transformers
Job, Simi, Tao, Xiaohui, Li, Y., Li, Lin and Yong, Jianming. 2023. "Topic Integrated Opinion-Based Drug Recommendation With Transformers ." IEEE Transactions on Emerging Topics in Computational Intelligence. 7 (6), pp. 1676-1686. https://doi.org/10.1109/TETCI.2023.3246559Article
A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh, Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction." Energy. 275, p. 127430. https://doi.org/10.1016/j.energy.2023.127430Article
Surface water electrical conductivity and bicarbonate ion determination using a smart hybridization of optimal Boruta package with Elman recurrent neural network
Jamei, Mehdi, Ali, Mumtaz, Karimi, Bakhtiar, Karbasi, Masoud, Farooque, Aitataz Ahsan and Yaseen, Zaher Mundher. 2023. "Surface water electrical conductivity and bicarbonate ion determination using a smart hybridization of optimal Boruta package with Elman recurrent neural network." Process Safety and Environmental Protection. 174, pp. 115-134. https://doi.org/https://doi.org/10.1016/j.psep.2023.03.062Article