46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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A Comprehensive Overview of IoT-Based Federated Learning: Focusing on Client Selection Methods
Khajehali, Naghmeh, Yan, Jun, Chow, Yang-Wai and Fahmideh, Mahdi. 2023. "A Comprehensive Overview of IoT-Based Federated Learning: Focusing on Client Selection Methods." Sensors. 23 (16). https://doi.org/10.3390/s23167235Article
3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning
Ji, Xiaopeng, Li, Yan and Wen, Peng. 2023. "3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31, pp. 3513-3523. https://doi.org/10.1109/TNSRE.2023.3309542Article
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images
Inamdar, Mahesh Anil, Raghavendra, U., Gudigar, Anjan, Bhandary, Sarvesh, Salvi, Massimo, Deo, Ravinesh C., Barua, Prabal Datta, Ciaccio, Edward J., Molinari, Filippo and Acharya, RU. Rajendra. 2023. "A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images." IEEE Access. 11, pp. 108982-108994. https://doi.org/10.1109/ACCESS.2023.3321273Article
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review
Hossain, Elias, Rana, Rajib, Higgins, Niall, Soar, Jeffrey, Barua, Prabal Datta, Pisani, Anthony R. and Turner, Kathryn. 2023. "Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review." Computers in Biology and Medicine. 155. https://doi.org/10.1016/j.compbiomed.2023.106649Article
Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management
He, Yifan, Li, Zhao, Li, Zhenpeng, Zhou, Shuigeng, Yu, Ting and Zhang, Ji. 2023. "Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management." IEEE Transactions on Network and Service Management. 20 (2), pp. 1040-1050. https://doi.org/10.1109/TNSM.2023.3234114Article
Early detection of paediatric and adolescent obsessive–compulsive, separation anxiety and attention deficit hyperactivity disorder using machine learning algorithms
Haque, Umme Marzia, Kabir, Enamul and Khanam, Rasheda. 2023. "Early detection of paediatric and adolescent obsessive–compulsive, separation anxiety and attention deficit hyperactivity disorder using machine learning algorithms." Health Information Science and Systems. 11 (1), pp. 1-14. https://doi.org/10.1007/s13755-023-00232-zArticle
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. 2024. "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
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
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. 2024. "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)
A new lateral geniculate nucleus pattern-based environmental sound classification using a new large sound dataset
Tasci, Burak, Acharya, Madhav R., Barua, Prabal Datta, Yildiz, Arif Metehan, Gun, Mehmet Veysel, Keles, Tugce, Dogan, Sengul and Tuncer, Turker. 2022. "A new lateral geniculate nucleus pattern-based environmental sound classification using a new large sound dataset." Applied Acoustics. 196. https://doi.org/10.1016/j.apacoust.2022.108897Article
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
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
AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers
Khan, Arif Ali, Akbar, Muhammad Azeem, Fahmideh, Mahdi, Liang, Peng, Waseem, Muhammad, Ahmad, Aakash, Niazi, Mahmood and Abrahamsson, Pekka. 2023. "AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers ." IEEE Transactions on Computational Social Systems. 10 (6). https://doi.org/10.1109/TCSS.2023.3251729Article
Feasibility Analysis of Data Transmission in Partially Damaged IoT Networks of Vehicles
Wei, Wei, Shen, Jun, Telikani, Akbar, Fahmideh, Mahdi and Gao, Wei. 2023. "Feasibility Analysis of Data Transmission in Partially Damaged IoT Networks of Vehicles ." IEEE Transactions on Intelligent Transportation Systems. 24 (4), pp. 4577-4588. https://doi.org/10.1109/TITS.2022.3190668Article