46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
Sort by Date Title
Authenticating source information of distribution synchrophasors at intra-state locations for cyber-physical resilient power networks
Cui, Yi, Bai, Feifei, Saha, Tapan and Yaghoobi, Jalil. 2022. "Authenticating source information of distribution synchrophasors at intra-state locations for cyber-physical resilient power networks." International Journal of Electrical Power and Energy Systems. 139, pp. 1-10. https://doi.org/10.1016/j.ijepes.2022.108009Article
Data Source Authentication for Wide-Area Synchrophasor Measurements Based On Spatial Signature Extraction and Quadratic Kernel SVM
Liu, Shengyuan, You, Shutang, Yin, He, Lin, Zhenzhi, Liu, Yilu, Cui, Yi, Yao, Wenxuan and Sundaresh, Lakshmi. 2022. "Data Source Authentication for Wide-Area Synchrophasor Measurements Based On Spatial Signature Extraction and Quadratic Kernel SVM." International Journal of Electrical Power and Energy Systems. 140, pp. 1-13. https://doi.org/10.1016/j.ijepes.2022.108083Article
AI enabled RPM for Mental Health Facility
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Xie, Haoran, Gururajan, Raj and Zhou, Xujuan. 2022. "AI enabled RPM for Mental Health Facility." 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare (WMSSH 2022). Sydney, Australia 21 Oct 2022 New York, United States. https://doi.org/10.1145/3556551.3561191Paper
Historical Virtual Team Learnings and a View to the New Normal Post-COVID-19
Woods, Ashley, Hafeez-Baig, Abdul and McCubbin, Amanda. 2022. "Historical Virtual Team Learnings and a View to the New Normal Post-COVID-19." 26th Pacific Asia Conference on Information Systems (PACIS 2022). Taipei, Taiwan 05 - 09 Jul 2022 Sydney, Australia.Paper
Perils of Ambidexterity: Initial Evidence of Tensions in an ISD Setting
Lokuge, Sachithra, Subasinghage, Maduka and Sedera, Darshana. 2022. "Perils of Ambidexterity: Initial Evidence of Tensions in an ISD Setting." 26th Pacific Asia Conference on Information Systems (PACIS 2022). Taipei, Taiwan 05 - 09 Jul 2022Paper
A Disjointed Harmony: IT-Business Alignment with LOB-led IT Innovation
Lokuge, Sachithra and Sedera, Darshana. 2022. "A Disjointed Harmony: IT-Business Alignment with LOB-led IT Innovation." 26th Pacific Asia Conference on Information Systems (PACIS 2022). Taipei, Taiwan 05 - 09 Jul 2022Paper
Exploring Tenets of Data Democratization
Samarasinghe, Sasari, Lokuge, Sachithra and Snell, Lan. 2022. "Exploring Tenets of Data Democratization." 26th Pacific Asia Conference on Information Systems (PACIS 2022). Taipei, Taiwan 05 - 09 Jul 2022Paper
Efficient Beaver Triple Generation for Privacy-preserving Collaborative Machine Learning
Tang, Zhaohui. 2022. "Efficient Beaver Triple Generation for Privacy-preserving Collaborative Machine Learning." Cho, Seongsoo (ed.) 9th International Conference on Advanced Engineering and ICT-Convergence (ICAEIC-2022). Jeju Island, Korea 13 - 15 Jul 2022 Seoul, Korea.Paper
Open at both ends: how a remixed OER project expanded the inner world of an Australian university's Library Services team
Hargreaves, Wendy and Howarth, Debi. 2022. "Open at both ends: how a remixed OER project expanded the inner world of an Australian university's Library Services team." 21st Biennial Conference and Exhibition (VALA2022). Melbourne, Australia 14 - 16 Jun 2022 Melbourne, Australia.Paper
Inference of Social Network Behavior from Internet Traffic Traces
Albdair, Mostfa, Addie, Ronald G. and Fatseas, David. 2016. "Inference of Social Network Behavior from Internet Traffic Traces." 26th International Telecommunication Networks and Applications Conference (ITNAC 2016). Dunedin, New Zealand 07 - 09 Dec 2016 United States. https://doi.org/10.1109/ATNAC.2016.7878773Paper
Realizing multifractality of smart meter data for household characteristic prediction
Cui, Yi, Yan, Ruifeng, Sharma, Rahul, Saha, Tapan and Horrocks, Neil. 2022. "Realizing multifractality of smart meter data for household characteristic prediction." International Journal of Electrical Power and Energy Systems. 139, pp. 1-11. https://doi.org/10.1016/j.ijepes.2022.108003Article
'What about us?' Wellbeing of higher education librarians
Carter, Susan, Andersen, Cecily, Turner, Michelle and Gaunt, Lorraine. 2023. "'What about us?' Wellbeing of higher education librarians." The Journal of Academic Librarianship. 49 (1). https://doi.org/10.1016/j.acalib.2022.102619Article
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja and Schuller, Bjorn. 2023. "Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition." IEEE Transactions on Affective Computing. 14 (3), pp. 1912-1926. https://doi.org/10.1109/TAFFC.2022.3167013Article
The role of cloud computing in knowledge management for small and medium enterprises: a systematic literature review
Saratchandra, Minu and Shrestha, Anup. 2022. "The role of cloud computing in knowledge management for small and medium enterprises: a systematic literature review." Journal of Knowledge Management. 26 (10), pp. 2668-2698. https://doi.org/10.1108/JKM-06-2021-0421Article
An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy
Shamshad, Shuhab, Riaz, Farina, Riaz, Rabia, Rizvi, Sanam Shahla and Abdulla, Shahab. 2022. "An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy." Sensors. 22 (21), pp. 1-24. https://doi.org/10.3390/s22218151Article
Identifying informative tweets during a pandemic via a topic‑aware neural language model
Gao, Wang, Li, Lin, Tao, Xiaohui, Zhou, Jing and Tao, Jun. 2023. "Identifying informative tweets during a pandemic via a topic‑aware neural language model." World Wide Web. 26 (1), pp. 55-70. https://doi.org/10.1007/s11280-022-01034-1Article
Multi-source information fusion for smart health with artificial intelligence
Tao, Xiaohui and Velasquez, Juan D.. 2022. "Multi-source information fusion for smart health with artificial intelligence." Information Fusion. 83-84, pp. 93-95. https://doi.org/10.1016/j.inffus.2022.03.010Editorial
Identifying and Ranking Landfill Sites for Municipal Solid Waste Management: An Integrated Remote Sensing and GIS Approach
Aslam, Bilal, Maqsoom, Ahsen, Tahir, Muhammad Dawar, Ullah, Fahim, Rehman, Muhammad Sami Ur and Albattah, Mohammed. 2022. "Identifying and Ranking Landfill Sites for Municipal Solid Waste Management: An Integrated Remote Sensing and GIS Approach." Buildings. 12 (5), pp. 1-20. https://doi.org/10.3390/buildings12050605Article
Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models
Nguyen-Huy, Thong, Deo, Ravinesh C., Khan, Shahjahan, Devi, Aruna, Adeyinka, Adewuyi Ayodele, Apan, Armando A. and Yaseen, Zaher Mundher. 2022. "Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models." IEEE Access. 10, pp. 45112 -45136. https://doi.org/10.1109/ACCESS.2022.3168322Article
Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization
Ahmadianfar, Iman, Noori, Ramzia Majeed, Togun, Hussein, Falah, Mayadah W., Homod, Raad Z., Fu, Minglei, Halder, Bijay, Deo, Ravinesh and Yaseen, Zaher Mundher. 2022. "Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization." Knowledge-Based Systems. 250, pp. 1-18. https://doi.org/10.1016/j.knosys.2022.109048Article
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