46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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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
3D LoD2 and LoD3 Modeling of Buildings with Ornamental Towers and Turrets Based on LiDAR Data
Lewandowicz, Elzbieta, Tarsha Kurdi, Fayez and Gharineiat, Zahra. 2022. "3D LoD2 and LoD3 Modeling of Buildings with Ornamental Towers and Turrets Based on LiDAR Data." Remote Sensing. 14 (19), pp. 1-17. https://doi.org/10.3390/rs14194687Article
Drone-as-a-Service (DaaS) for COVID-19 self-testing kits delivery in smart healthcare setups: A technological perspective
Munawar, Hafiz Suliman, Akram, Junaid, Khan, Sara Imran, Ullah, Fahim and Choi, Bong Jun. 2023. "Drone-as-a-Service (DaaS) for COVID-19 self-testing kits delivery in smart healthcare setups: A technological perspective." ICT Express. 9 (4), pp. 748-753. https://doi.org/10.1016/j.icte.2022.09.008Article
Review of Automatic Processing of Topography and Surface Feature Identification LiDAR Data Using Machine Learning Techniques
Gharineiat, Zahra, Tarsha Kurdi, Fayez and Campbell, Glenn. 2022. "Review of Automatic Processing of Topography and Surface Feature Identification LiDAR Data Using Machine Learning Techniques." Remote Sensing. 14 (19), pp. 1-24. https://doi.org/10.3390/rs14194685Article
Cost-Effective Edge Server Network Design in Mobile Edge Computing Environment
Luo, Ruikun, Jin, Hai, He, Qiang, Wu, Song and Xia, Xiaoyu. 2022. "Cost-Effective Edge Server Network Design in Mobile Edge Computing Environment." IEEE Transactions on Sustainable Computing. 7 (4), pp. 839-850. https://doi.org/10.1109/TSUSC.2022.3178661Article
Cost-Effective Data Placement in Edge Storage Systems with Erasure Code
Jin, Hai, Luo, Ruikun, He, Qiang, Wu, Song, Zeng, Zilai and Xia, Xiaoyu. 2022. "Cost-Effective Data Placement in Edge Storage Systems with Erasure Code." IEEE Transactions on Services Computing. 16 (2), pp. 1039-1050. https://doi.org/10.1109/TSC.2022.3152849Article
Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG." Sensors. 22 (16). https://doi.org/10.3390/s22166099Article
Data Caching Optimization With Fairness in Mobile Edge Computing
Zhou, Jingwen, Chen, Feifei, He, Qiang, Xia, Xiaoyu, Wang, Rui and Xiang, Yong. 2023. "Data Caching Optimization With Fairness in Mobile Edge Computing." IEEE Transactions on Services Computing. 16 (3), pp. 1750 - 1762. https://doi.org/10.1109/TSC.2022.3197881Article
Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review
Gopalakrishnan, Abinaya, Venkataraman, Revathi, Gururajan, Raj, Xujuan, Zhou and Genrich, Rohan. 2022. "Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review." PeerJ Computer Science. 8, pp. 1-34. https://doi.org/10.7717/peerj-cs.1042Article
Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Prasad, Ramendra, Abdulla, Shahab and Yaseen, Zaher Mundher. 2022. "Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach." Water Resources Management. 36 (12), p. 4637–4676. https://doi.org/10.1007/s11269-022-03270-6Article
Multimedia security and privacy protection in the internet of things: research developments and challenges
Yang, Wencheng, Wang, Song, Hu, Jiankun and Karie, Nickson M.. 2022. "Multimedia security and privacy protection in the internet of things: research developments and challenges." International Journal of Multimedia Intelligence and Security. 4 (1), pp. 20-46. https://doi.org/10.1504/ijmis.2022.121282Article
A model-driven approach to reengineering processes in cloud computing
Fahmideh, Mahdi, Grundy, John, Beydoun, Ghassan, Zowghi, Didar, Susilo, Willy and Mougouei, Davoud. 2022. "A model-driven approach to reengineering processes in cloud computing." Information and Software Technology. 144. https://doi.org/10.1016/j.infsof.2021.106795Article
Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Sharma, Ekta and Ali, Mumtaz. 2022. "Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction." Measurement. 202, pp. 1-22. https://doi.org/10.1016/j.measurement.2022.111759Article
Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model
Ahmed, Abul Abrar Masrur, Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J., Devi, Aruna, Barua, Prabal D. and Yaseen, Zaher M.. 2022. "Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model." Sustainability. 14 (17), pp. 1-27. https://doi.org/10.3390/su141711070Article
Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain
Akbari, Hesam, Sadiq, Muhammad Tariq, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain." Health Information Science and Systems. 10 (1). https://doi.org/10.1007/s13755-022-00187-7Article
Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare
Salman, Muhammad, Munawar, Hafiz Suliman, Latif, Khalid, Akram, Muhammad Waseem, Khan, Sara Imran and Ullah, Fahim. 2022. "Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare." Big Data and Cognitive Computing. 6 (1), pp. 1-17. https://doi.org/10.3390/bdcc6010030Article
Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors
Ahmed, A. A. Masrur, Sharma, Ekta, Jui, S. Janifer Jabin, Deo, Ravinesh C., Nguyen-Huy, Thong and Ali, Mumtaz. 2022. "Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors." Remote Sensing. 14 (5), pp. 1-24. https://doi.org/10.3390/rs14051136Article
Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System
Prasad, Salvin S., Deo, Ravinesh C., Downs, Nathan, Igoe, Damien, Parisi, Alfio V. and Soar, Jeffrey. 2022. "Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System." IEEE Access. 10, pp. 24704-24720. https://doi.org/10.1109/ACCESS.2022.3153475Article
A hybrid deep learning scheme for multi-channel sleep stage classification
Pei, Wei, Li, Yan, Siuly, Siuly and Wen, Peng. 2022. "A hybrid deep learning scheme for multi-channel sleep stage classification." Computers, Materials and Continua. 71 (1), pp. 889-905. https://doi.org/10.32604/cmc.2022.021830Article
Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2022. "Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data." Journal of Hydrology. 607, pp. 1-19. https://doi.org/10.1016/j.jhydrol.2022.127534Article
Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects
Bhagat, Suraj Kumar, Tiyasha, Tiyasha, Kumar, Adarsh, Malik, Tabarak, Jawad, Ali H., Khedher, Khaled Mohamed, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2022. "Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects." Journal of Environmental Management. 309, pp. 1-16. https://doi.org/10.1016/j.jenvman.2022.114711Article