46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation
Altarez, Richard Dein D., Apan, Armando and Maraseni, Tek. 2023. "Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation." Remote Sensing Applications: Society and Environment. 29. https://doi.org/10.1016/j.rsase.2022.100887Article
CNN Based Image Classification of Malicious UAVs
Brown, Jason, Gharineiat, Zahra and Raj, Nawin. 2023. "CNN Based Image Classification of Malicious UAVs." Applied Sciences. 13 (1), pp. 1-13. https://doi.org/10.3390/app13010240Article
Speech Synthesis with Mixed Emotions
Zhou, Kun, Sisman, Berrak, Rana, R., Schuller, Bjorn W. and Li, Haizhou. 2023. "Speech Synthesis with Mixed Emotions." IEEE Transactions on Affective Computing. 14 (4), pp. 3120-3134. https://doi.org/10.1109/TAFFC.2022.3233324Article
UniSQ Library Stories of 2022
Bell, Emilia C., McGregor, Rowena, Andersen, Nikki, Piper, Steph, Derrington, Kate, Bella, Tahnya, Jeffers, Marjorie, Sherwin, Leonie, Kelly, Tricia, Bremner, Margaret, Eacersall, Douglas, Stagg, Adrian, Ingram, Ben, Page, Teaki, Heuser, Ryan, Fahey, Kacie, Waters, Carlie, Fisher, Michelle, Firman, Elizabeth, ..., Salisbury, Fiona. Bell, Emilia and Randall, Rebecca (ed.) 2022. UniSQ Library Stories of 2022. Australia. University of Southern Queensland.Edited book
Dependency-aware software requirements selection using fuzzy graphs and integer programming
Mougouei, Davoud and Powers, David M.W.. 2021. "Dependency-aware software requirements selection using fuzzy graphs and integer programming." Expert Systems with Applications. 167, pp. 1-23. https://doi.org/10.1016/j.eswa.2020.113748Article
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2021. "Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm." IEEE Access. 9, pp. 166695-166708. https://doi.org/10.1109/ACCESS.2021.3135362Article
Dependency-aware release planning for software projects using fuzzy graphs and integer programming
Mougouei, Davoud and Powers, David M. W.. 2019. "Dependency-aware release planning for software projects using fuzzy graphs and integer programming." Journal of Intelligent and Fuzzy Systems. 37 (3), pp. 3693-3707. https://doi.org/10.3233/JIFS-182810Article
A fuzzy framework for prioritization and partial selection of security requirements in software projects
Mougouei, Davoud, Powers, David M.W. and Mougouei, Elahe. 2019. "A fuzzy framework for prioritization and partial selection of security requirements in software projects." Journal of Intelligent and Fuzzy Systems. 37 (2), pp. 2671-2686. https://doi.org/10.3233/JIFS-182907Article
Dependency-aware software release planning through mining user preferences
Mougouei, Davoud and Powers, David M. W.. 2020. "Dependency-aware software release planning through mining user preferences." Soft Computing. 24 (15), pp. 11673-11693. https://doi.org/10.1007/s00500-019-04630-yArticle
Academic Success
Bartlett, Cristy, Cawthray, Tyler, Clark, Linda, Conway, Sam, Derrington, Kate, Devi, Aruna, Frederiks, Anita, Gunton, Lyndelle, Hargreaves, Wendy, Howarth, Debi, Irvine, Sarah, Jeffers, Marjorie, Lovric, Kristen, McGregor, Rowena, Peters, Emma, Pickstone, Leigh, Retallick, Bianca, Rose, Yvonne, Sahay, Akshay, ..., Tweedale, Robyn. Hargreaves, Wendy and Andersen, Nikki (ed.) 2021. Academic Success. Australia. University of Southern Queensland.Textbook
Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm." IEEE Access. 9, pp. 50982-50993. https://doi.org/10.1109/ACCESS.2021.3065939Article
Examining the determinants of eHealth usage among elderly people with disability: The moderating role of behavioural aspects
Ali, Mohammad Afshar, Alam, Khorshed, Taylor, Brad and Ashraf, Mahfuz. 2021. "Examining the determinants of eHealth usage among elderly people with disability: The moderating role of behavioural aspects." International Journal of Medical Informatics. 149, pp. 1-8. https://doi.org/10.1016/j.ijmedinf.2021.104411Article
Trio-based collaborative multi-view graph clustering with multiple constraints
Wang, Ru, Li, Lin, Tao, Xiaohui, Dong, Xiao, Wang, Peipei and Liu, Peiyu. 2021. "Trio-based collaborative multi-view graph clustering with multiple constraints." Information Processing and Management. 58 (3), pp. 1-13. https://doi.org/10.1016/j.ipm.2020.102466Article
Innovation Centric Knowledge Commons—A Systematic Literature Review and Conceptual Model
Ramakrishnan, Muralidharan, Shrestha, Anup and Soar, Jeffrey. 2021. "Innovation Centric Knowledge Commons—A Systematic Literature Review and Conceptual Model." Journal of Open Innovation: Technology, Market, and Complexity. 7 (1), pp. 1-19. https://doi.org/10.3390/joitmc7010035Article
A hierarchical classification/regression algorithm for improving extreme wind speed events prediction
Pelaez-Rodriguez, C., Perez-Aracil, J., Fister, D, Prieto-Godino, L., Deo, R.C. and Salcedo-sanz, S.. 2022. "A hierarchical classification/regression algorithm for improving extreme wind speed events prediction." Renewable Energy. 201 (Part 2), pp. 157-178. https://doi.org/10.1016/j.renene.2022.11.042Article
Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques
Gopalakrishnan, Abinaya, Venkataraman, Revathi, Gururajan, Raj, Zhou, Xujuan and Zhu, Guohun. 2022. "Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques." Mathematics. 10 (23). https://doi.org/10.3390/math10234570Article
Values-Based Practice in EBLIP: A Review
Bell, Emilia C.. 2022. "Values-Based Practice in EBLIP: A Review." Evidence Based Library and Information Practice. 17 (3), pp. 119-134. https://doi.org/10.18438/eblip30176Article
The library as soft-power actor: A review
Bell, Emilia C. and Kennan, Mary Anne. 2022. "The library as soft-power actor: A review." IFLA Journal. 48 (4), pp. 706-716. https://doi.org/10.1177/03400352211054113Article
A Conceptual Framework towards Knowledge Ambidexterity using Information Systems and Knowledge Management
Shrestha, Anup and Saratchandra, Minu. 2023. "A Conceptual Framework towards Knowledge Ambidexterity using Information Systems and Knowledge Management." The Journal of Information Systems. 37 (1), pp. 143-167. https://doi.org/10.2308/ISYS-2021-013Article
Water quality management using hybrid machine learning and data mining algorithms: An indexing approach
Aslam, Bilal, Maqsoom, Ahsen, Cheema, Ali Hassan, Ullah, Fahim, Alharbi, Abdullah and Imran, Muhammad. 2022. "Water quality management using hybrid machine learning and data mining algorithms: An indexing approach." IEEE Access. 10, pp. 119692 - 119705. https://doi.org/10.1109/ACCESS.2022.3221430Article
Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps
Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C., Salcedo-sanz, Sancho and Soar, Jeffrey. 2022. "Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps." IEEE Access. 10, pp. 119814 - 119825. https://doi.org/10.1109/ACCESS.2022.3221762Article
Deep Learning Based Frequency Stability Assessment in Power Grid with High Renewables
Zhao, Yinfeng, You, Shutang, Mandich, Mirka, Li, Hongyu, Fabus, Summer, Cui, Yi, Xiao, Huangqing, Zhu, Lin, Zeng, Chujie, Liu, Yilu, Jiang, Huaiguang, Yuan, Haoyu, Zhang, Yingchen and Tan, Jin. 2022. "Deep Learning Based Frequency Stability Assessment in Power Grid with High Renewables." 2022 IEEE Power and Energy Society General Meeting (PESGM). Denver, United States 17 - 21 Jul 2022 United States. https://doi.org/10.1109/pesgm48719.2022.9916751Paper
Unrealised Potential: A Survey of Students as Partners in Australian University Libraries
Dollinger, Mollie, Salisbury, Fiona and Davis, Kate. 2023. "Unrealised Potential: A Survey of Students as Partners in Australian University Libraries ." New Review of Academic Librarianship. 29 (3), pp. 288-303. https://doi.org/10.1080/13614533.2022.2138477Article
Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification
Zapata, Ignacio A., Li, Yan and Wen, Peng. 2022. "Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification." IEEE Access. 10, pp. 71299-71310. https://doi.org/10.1109/ACCESS.2022.3188286Article
Power Transformer Condition Assessment Using Support Vector Machine With Heuristic Optimization
Cui, Yi, Ma, Hui and Saha, Tapan K.. 2013. "Power Transformer Condition Assessment Using Support Vector Machine With Heuristic Optimization." 23rd Australasian Universities Power Engineering Conference (AUPEC 2013). Hobart, Australia 29 Sep - 03 Oct 2013 Hobart, Australia. https://doi.org/10.1109/AUPEC.2013.6725452Paper
Investigation of Feature Selection Techniques for Improving Efficiency of Power Transformer Condition Assessment
Ashkezari, Atefeh Dehghani, Ma, Hui, Saha, Tapan K. and Cui, Yi. 2014. "Investigation of Feature Selection Techniques for Improving Efficiency of Power Transformer Condition Assessment." IEEE Transactions on Dielectrics and Electrical Insulation. 21 (2), pp. 836-844. https://doi.org/10.1109/TDEI.2013.004090Article
Multi-variable Approach for Evaluating Transformer Paper Insulation
Cui, Yi, Martin, Daniel, Saha, Tapan, Ma, Hui, Ekanayake, Chandima and Lelekakis, Nick. 2015. "Multi-variable Approach for Evaluating Transformer Paper Insulation." 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM 2015). Sydney, Australia 19 - 22 Jul 2015 Sydney, Australia. https://doi.org/10.1109/ICPADM.2015.7295273Paper
Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Xiang, Yong, Ahmadianfar, Iman and Yaseen, Zaher Mundher. 2022. "Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach ." Applied Energy. 326, pp. 1-24. https://doi.org/10.1016/j.apenergy.2022.119925Article
Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2019. "Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm." AMSI Optimise 2019. Perth, Australia 17 - 21 Jun 2019 Perth, Australia.Poster
Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms
Al-Salman, Wessam, Li, Yan, Oudah, Atheer Y. and Almaged, Sadiq. 2023. "Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms." Neuroscience Research. https://doi.org/10.1016/j.neures.2022.09.009Article
A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG
Tawhid, Md. Nurul Ahad, Siuly, Siuly and Li, Tianning. 2022. "A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG." IEEE Transactions on Instrumentation and Measurement. 71, pp. 1-11. https://doi.org/10.1109/TIM.2022.3217515Article
Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication
Cui, Yi, Liu, Yilu, Fuhr, Peter and Morales-Rodriguez, Marissa. 2018. "Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication." 2018 IEEE International Symposium on Technologies for Homeland Security (HST). Woburn, United States 23 - 24 Oct 2018 Woburn, United States. https://doi.org/10.1109/THS.2018.8574151Paper
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10Paper
Detecting Depression Using Single-Channel EEG and Graph Methods
Zhu, Guohun, Qiu, Tong, Ding, Yi, Gao, Shang, Zhao, Nan, Liu, Feng, Zhou, Xujuan and Gururajan, Raj. 2022. "Detecting Depression Using Single-Channel EEG and Graph Methods." Mathematics. 10 (22), pp. 1-10. https://doi.org/10.3390/math10224177Article
SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia
Siuly, Siuly, Li, Yan, Wen, Peng and Alcin, Omer Faruk. 2022. "SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia." Computational Intelligence and Neuroscience. 2022, pp. 1-13. https://doi.org/10.1155/2022/1992596Article
Spatio-Temporal Synchrophasor Data Characterization for Mitigating False Data Injection in Smart Grids
Cui, Yi, Wang, Weikang, Liu, Yilu, Fuhr, Peter and Morales-Rodriguez, Marissa. 2019. "Spatio-Temporal Synchrophasor Data Characterization for Mitigating False Data Injection in Smart Grids." 2020 IEEE Power and Energy Society General Meeting (PESGM). Atlanta, United States 04 - 08 Aug 2020 Atlanta, United States. https://doi.org/10.1109/pesgm40551.2019.8973586Paper
FNET/GridEye: A Tool for Situational Awareness of Large Power Interconnetion Grids
Zhu, Lin, You, Shutang, Yin, He, Zhao, Yinfeng, Li, Fuhua, Yao, Wenxuan, O'Reilley, Chris, Yu, Wenpeng, Zeng, Chujie, Deng, Xianda, Zhao, Yi, Cui, Yi, Zhang, Yao and Liu, Yilu. 2020. "FNET/GridEye: A Tool for Situational Awareness of Large Power Interconnetion Grids." 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). Delft, Netherlands 26 - 28 Oct 2020 Delft, Netherlands. https://doi.org/10.1109/ISGT-Europe47291.2020.9248857Paper
Source Location Identification of Distribution-Level Electric Network Frequency Signals at Multiple Geographic Scales
Yao, Wenxuan, Zhao, Jiecheng, Till, Micah J., You, Shutang, Liu, Yong, Cui, Yi and Liu, Yilu. 2017. "Source Location Identification of Distribution-Level Electric Network Frequency Signals at Multiple Geographic Scales." IEEE Access. 5, pp. 11166-11175. https://doi.org/10.1109/ACCESS.2017.2707060Article
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction
Ghimire, Sujan, Nguyen-Huy, Thong, Prasad, Ramendra, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho and Bhandari, Binayak. 2022. "Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction." Cognitive Computation. 15 (2), pp. 645-671. https://doi.org/10.1007/s12559-022-10070-yArticle
A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks
Bedari, Aseel, Wang, Song and Yang, Wencheng. 2022. "A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks." Sensors. 22 (19), pp. 1-16. https://doi.org/10.3390/s22197609Article