46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Key Adoption Factors for Collaborative Technologies and Barriers to Information Management in Construction Supply Chains: A System Dynamics Approach
Amin, Fawad, Khan, Khurram Iqbal Ahmad, Ullah, Fahim, Alqurashi, Muwaffaq and Alsulami, Badr T.. 2022. "Key Adoption Factors for Collaborative Technologies and Barriers to Information Management in Construction Supply Chains: A System Dynamics Approach." Buildings. 12 (6), pp. 1-24. https://doi.org/10.3390/buildings12060766Article
Machinability of Polymeric Composites and Future Reinforcements — A Review
Shalwan, Abdullah, Alsaeed, Talal and Yousif, Belal. 2022. "Machinability of Polymeric Composites and Future Reinforcements — A Review." Journal of Materials Science and Chemical Engineering. 10 (5), pp. 40-72. https://doi.org/10.4236/msce.2022.105004Article
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Shaik, Thanveer, Tao, Xiaohui, Li, Yan, Dann, Christopher, McDonald, Jacquie, Redmond, Petrea and Galligan, Linda. 2022. "A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis." IEEE Access. 10, pp. 56720-56739. https://doi.org/10.1109/ACCESS.2022.3177752Article
Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction
Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Prasad, Ramendra, Li, Jianxin, Farooque, Aitazaz and Yaseen, Zaher Mundher. 2022. "Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction." Scientific Reports. 12 (1), pp. 1-23. https://doi.org/10.1038/s41598-022-09482-5Article
Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network
Deo, Ravinesh C., Grant, Richard H., Webb, Ann, Ghimire, Sujan, Igoe, Damien P., Downs, Nathan J., Al-Musaylh, Mohanad S., Parisi, Alfio V. and Soar, Jeffrey. 2022. "Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network." Stochastic Environmental Research and Risk Assessment. 36, p. 3183–3220. https://doi.org/10.1007/s00477-022-02188-0Article
Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C, Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction." Renewable Energy. 190, pp. 408-424. https://doi.org/10.1016/j.renene.2022.03.120Article
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model
Ghimire, Sujan, Nguyen-Huy, Thong, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model." Sustainable Materials and Technologies. 32, pp. 1-24. https://doi.org/10.1016/j.susmat.2022.e00429Article
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
Ghimire, Sujan, Bhandari, Binayak, Casillas-Perez, David, Deo, Ravinesh C. and Salcedo-sanz, Sancho. 2022. "Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia." Engineering Applications of Artificial Intelligence. 112, pp. 1-26. https://doi.org/10.1016/j.engappai.2022.104860Article
Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms." Applied Energy. 316, pp. 1-25. https://doi.org/10.1016/j.apenergy.2022.119063Article
Machine learning regression and classification methods for fog events prediction
Castillo-Boton, C., Casillas-Perez, D., Casanova-Mateo, C., Ghimire, S., Cerro-Prada, E., Gutierrez, P. A., Deo, R. C. and Salcedo-sanz, S.. 2022. "Machine learning regression and classification methods for fog events prediction." Atmospheric Research. 272, pp. 1-23. https://doi.org/10.1016/j.atmosres.2022.106157Article
Modeling Profitability-Influencing Risk Factors for Construction Projects: A System Dynamics Approach
Jahan, Shah, Khan, Khurram Iqbal Ahmad, Thaheem, Muhammad Jamaluddin, Ullah, Fahim, Alqurashi, Muwaffaq and Alsulami, Badr T.. 2022. "Modeling Profitability-Influencing Risk Factors for Construction Projects: A System Dynamics Approach." Buildings. 12 (6), pp. 1-22. https://doi.org/10.3390/buildings12060701Article
Emotion Intensity and its Control for Emotional Voice Conversion
Zhou, Kun, Sisman, Berrak, Rana, Rajib, Schuller, Bjorn W. and Li, Haizhou. 2023. "Emotion Intensity and its Control for Emotional Voice Conversion." IEEE Transactions on Affective Computing. 14 (1), pp. 31-48. https://doi.org/10.1109/TAFFC.2022.3175578Article
Internet penetration and airline pricing: Evidence from China
Huang, Zhibin, Yong, Jianming, Ma, Wenliang, Chen, Mengying, Xiong, Zihan and Shrestha, Anup. 2022. "Internet penetration and airline pricing: Evidence from China." Transport Policy. 123, pp. 104-111. https://doi.org/10.1016/j.tranpol.2022.04.017Article
Information, Uncertainty & Espionage
Phillips, Peter J. and Pohl, Gabriela. 2024. "Information, Uncertainty & Espionage." The Review of Austrian Economics. 37 (1), pp. 35-54. https://doi.org/10.1007/s11138-022-00587-8Article
Enhancing Inclusion, Diversity, Equity and Accessibility (IDEA) in Open Educational Resources (OER)
Andersen, Nikki. 2022. Enhancing Inclusion, Diversity, Equity and Accessibility (IDEA) in Open Educational Resources (OER). Toowoomba, Australia. University of Southern Queensland.Textbook
'In automation we trust' - Australian air traffic controller perspectives of increasing automation in air traffic management
Langford, Kieran, Kille, Tarryn, Lee, Seung-Yong, Zhang, Yahua and Bates, Paul R.. 2022. "'In automation we trust' - Australian air traffic controller perspectives of increasing automation in air traffic management." Transport Policy. 125, pp. 352-362. https://doi.org/10.1016/j.tranpol.2022.07.001.Article
A survey on deep reinforcement learning for audio‑based applications
Latif, Siddique, Cuayahuitl, Heriberto, Pervez, Farrukh, Shamshad, Fahad, Ali, Hafiz Shehbaz and Cambria, Erik. 2023. "A survey on deep reinforcement learning for audio‑based applications." Artificial Intelligence Review: an international survey and tutorial journal. 56 (3), p. 2193–2240. https://doi.org/10.1007/s10462-022-10224-2Article
FedStack: Personalized Activity Monitoring using Stacked Federated Learning
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Gururajan, Raj, Li, Yuefeng, Zhou, Xujuan and Acharya, U Rajendra. 2022. "FedStack: Personalized Activity Monitoring using Stacked Federated Learning." Knowledge-Based Systems. 257, pp. 1-14. https://doi.org/10.1016/j.knosys.2022.109929Article
Open Textbook Publishing Programs at Australian Universities: Results from a National Survey
Rowling, Samara. 2022. "Open Textbook Publishing Programs at Australian Universities: Results from a National Survey." 2022 CAUL Enabling a Modern Curriculum Conference. OnlinePresentation
Future farming: Machine vision for in-season nitrogen assessment of grain crops
McCarthy, Alison and Baillie, Craig. 2020. "Future farming: Machine vision for in-season nitrogen assessment of grain crops." 2020 Precision Agriculture Symposium Webinar. Virtual 30 Sep 2020 Sydney, Australia.Presentation
Future farming: Machine vision for nitrogen assessment in grain crops
McCarthy, Alison and Baillie, Craig. 2020. "Future farming: Machine vision for nitrogen assessment in grain crops." GRDC Grains Research Update: Driving Profit Through Research. Goondiwindi, Australia 03 - 04 Mar 2020 Australia.Paper
Smartphone apps under development to aid pest monitoring
McCarthy, Alison, Long, Derek and Grundy, Paul. 2020. "Smartphone apps under development to aid pest monitoring." GRDC Grains Research Update: Driving Profit Through Research. Goondiwindi, Australia 03 - 04 Mar 2020 Australia.Paper
Role of ontologies in beach safety management analytics systems
Fahmideh, Mahdi, Beydoun, Ghassan, Bandara, Madhushi, Ahmad, Aakash, Shrestha, Anup and Khan, Arif Ali. 2022. "Role of ontologies in beach safety management analytics systems." 26th Pacific Asia Conference on Information Systems (PACIS 2022). Taipei, Taiwan 05 - 09 Jul 2022Paper
Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing
Riaz, Farina, Abdulla, Shahab, Ni, Wei, Radfar, Mohsen, Deo, Ravinesh and Hopkins, Susan. 2022. "Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing." Quantum Australia Conference 2022. Online 23 - 25 Feb 2022 Toowoomba, Australia. https://doi.org/10.13140/RG.2.2.34754.66245Poster
A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
Rajapakshe, Thejan, Rana, Rajib, Khalifa, Sara, Liu, Jiajun and Schuller, Bjorn W. 2022. "A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition." Abramson, David and Dinh, Minh Ngoc (ed.) 2022 Australasian Computer Science Week (ACSW 2022). Brisbane, Australia 14 - 17 Feb 2022 United States. https://doi.org/10.1145/3511616.3513104Paper
Forecasting and Monitoring Smart Buildings with the Internet of Things, Digital Twins and Blockchain
Yang, Xichun, Maiti, Ananda, Jiang, Jinhao and Kist, Alexander. 2022. "Forecasting and Monitoring Smart Buildings with the Internet of Things, Digital Twins and Blockchain." Auer, Michael E., Bhimavaram, Kalyan Ram and Yue, Xiao-Guang (ed.) 18th International Conference on Remote Engineering and Virtual Instrumentation (REV 2021). Hong Kong 24 - 26 Feb 2021 Switzerland. Springer. https://doi.org/10.1007/978-3-030-82529-4_21Paper
Adaptive Fault Resolution for Database Replication Systems
Wee, Chee Keong, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui and Wee, Nathan. 2022. "Adaptive Fault Resolution for Database Replication Systems." Li, Bohan, Yue, Lin, Jiang, Jing, Chen, Weitong, Li, Xue, Long, Guodong, Fang, Fei and Yu, Han (ed.) 17th International Conference on Advanced Data Mining and Applications (ADMA 2021). Sydney, Australia 02 - 04 Feb 2022 Berlin. Springer. https://doi.org/10.1007/978-3-030-95405-5_26Paper
Data Analytics on Online Student Engagement Data for Academic Performance Modeling
Tao, Xiaohui, Shannon-Honson, Aaron, Delaney, Patrick, Li, Lin, Dann, Christopher, Li, Yan and Xie, Haoran. 2022. "Data Analytics on Online Student Engagement Data for Academic Performance Modeling." IEEE Access. 10, pp. 103176-103186. https://doi.org/10.1109/ACCESS.2022.3208953Article
Data Caching Optimization in the Edge Computing Environment
Liu, Ying, He, Qiang, Zheng, Dequan, Xia, Xiaoyu, Chen, Feifei and Zhang, Bin. 2022. "Data Caching Optimization in the Edge Computing Environment." IEEE Transactions on Services Computing. 15 (4), pp. 2074-2085. https://doi.org/10.1109/TSC.2020.3032724Article
An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2022. "An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods." Biomedical Signal Processing and Control. 77, pp. 1-8. https://doi.org/10.1016/j.bspc.2022.103820Article
Novel nested patch-based feature extraction model for automated Parkinson’s Disease symptom classification using MRI images
Kaplan, Ela, Altunisik, Erman, Firat, Yasemin Ekmekyapar, Barua, Prabal Datta, Dogan, Sengul, Baygin, Mehmet, Demir, Fahrettin Burak, Tuncer, Turker, Palmer, Elizabeth, Tan, Ru-San, Yu, Ping, Soar, Jeffrey, Fujita, Hamido and Acharya, U. Rajendra. 2022. "Novel nested patch-based feature extraction model for automated Parkinson’s Disease symptom classification using MRI images." Computer Methods and Programs in Biomedicine. 224, pp. 1-11. https://doi.org/10.1016/j.cmpb.2022.107030Article
Generation of synthetic manufacturing datasets for machine learning using discrete-event simulation
Chan, K. C., Rabaev, Marsel and Pratama, Handy. 2022. "Generation of synthetic manufacturing datasets for machine learning using discrete-event simulation." Production and Manufacturing Research. 10 (1), pp. 337-353. https://doi.org/10.1080/21693277.2022.2086642Article
Blockchain technology enables healthcare data management and accessibility
Ali, Omar, Jaradat, Ashraf, Ally, Mustafa and Rotabi, Sareh. 2022. "Blockchain technology enables healthcare data management and accessibility." Muthu, Subramanian Senthilkannan (ed.) Blockchain technologies for sustainability. Singapore. Springer. pp. 91-118Edited book (chapter)
Building knowledge ambidexterity using cloud computing: Longitudinal case studies of SMEs experiences
Saratchandra, Minu, Shrestha, Anup and Murray, Peter A.. 2022. "Building knowledge ambidexterity using cloud computing: Longitudinal case studies of SMEs experiences." International Journal of Information Management. 67, pp. 1-20. https://doi.org/10.1016/j.ijinfomgt.2022.102551Article
An Evaluation of Key Adoption Factors towards Using the Fog Technology
Ali, Omar, Shrestha, Anup, Jaradat, Ashraf and Al-Ahmad, Ahmad. 2022. "An Evaluation of Key Adoption Factors towards Using the Fog Technology." Big Data and Cognitive Computing. 6 (3), pp. 1-36. https://doi.org/10.3390/bdcc6030081Article
Spatial-Temporal Edge User Allocation: An Expectation Confirmation Perspective Approach
Zou, Guobing, Xu, Zhiwei, Xia, Xiaoyu, Liu, Ya, Gan, Yanglan, Zhang, Bofeng, Zhou, Min and He, Qiang. 2022. "Spatial-Temporal Edge User Allocation: An Expectation Confirmation Perspective Approach." IEEE Transactions on Network and Service Management. 19 (4), pp. 4918-4931. https://doi.org/10.1109/TNSM.2022.3193088Article
Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks
Cheng, Zhipeng, Liwang, Minghui, Xia, Xiaoyu, Min, Minghui, Wang, Xianbin and Du, Xiaojiang. 2022. "Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks." IEEE Transactions on Vehicular Technology. 71 (10), pp. 10960 - 10974. https://doi.org/10.1109/TVT.2022.3184026Article
A Framework for Burnt Area Mapping and Evacuation Problem Using Aerial Imagery Analysis
Munawar, Hafiz Suliman, Gharineiat, Zahra, Akram, Junaid and Khan, Sara Imran. 2022. "A Framework for Burnt Area Mapping and Evacuation Problem Using Aerial Imagery Analysis." Fire. 5 (4), pp. 1-15. https://doi.org/10.3390/fire5040122Article
Achieving Industry-aligned Education through Digital-Commons: A Case Study
Ramakrishnan, Muralidharan, Gregor, Shirley, Shrestha, Anup and Soar, Jeffrey. 2023. "Achieving Industry-aligned Education through Digital-Commons: A Case Study." Journal of Computer Information Systems. 63 (4), pp. 950-964. https://doi.org/10.1080/08874417.2022.2115955Article
Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification
Ji, Xiaopeng, Li, Yan and Wen, Peng. 2022. "Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30, pp. 1464-1472. https://doi.org/10.1109/TNSRE.2022.3176004Article