46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach
Abdulla, Shahab, Riaz, Farina, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C. and Hopkins, Susan. 2023. "Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach." Sensors. 23 (5), pp. 1-11. https://doi.org/10.3390/s23052753Article
A comprehensive investigation of wetting distribution pattern on sloping lands under drip irrigation: A new gradient boosting multi-filtering-based deep learning approach
Jamei, Mehdi, Karimi, Bakhtiar, Ali, Mumtaz, Alinazari, Fariba, Karbasi, Masoud, Maroufpoor, Eisa and Chu, Xuefeng. 2023. "A comprehensive investigation of wetting distribution pattern on sloping lands under drip irrigation: A new gradient boosting multi-filtering-based deep learning approach." Journal of Hydrology. 620 (Part A), pp. 1-19. https://doi.org/https://doi.org/10.1016/j.jhydrol.2023.129402Article
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
Jamei, Mehdi, Karbasi, Masoud, Ali, Mumtaz, Malik, Anurag, Chu, Xuefeng and Yaseen, Zaher Mundher. 2023. "A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm." Expert Systems with Applications. 222. https://doi.org/https://doi.org/10.1016/j.eswa.2023.119811Article
Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model
Li, Yi-ming, Khan, Majid, Khurshid, Adnan, Gulistan, Muhammad, Rehman, Ateeq Ur, Ali, Mumtaz, Abdulla, Shahab and Farooque, Aitazaz A.. 2023. "Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model ." Complex and Intelligent Systems. https://doi.org/10.1007/s40747-023-00971-2Article
Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study
Ibrahim, Hekmat, Yaseen, Zaher Mundher, Scholz, Miklas, Ali, Mumtaz, Gad, Mohamed, Elsayed, Salah, Khadr, Mosaad, Hussein, Hend, Ibrahim, Hazem H., Eid, Mohamed Hamdy, Kovács, Attila, Péter, Szűcs and Khalifa, Moataz M.. 2023. "Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study." Water. 15 (4), pp. 1-26. https://doi.org/https://doi.org/10.3390/w15040694Article
Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Jamei, Mehdi and Yaseen, Zaher Mundher. 2023. "Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting." Renewable Energy. 205, pp. 731-746. https://doi.org/https://doi.org/10.1016/j.renene.2023.01.108Article
A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Ali, Omar, Abdelbaki, Wiem, Shrestha, Anup, Elbasi, Ersin, Ali, Mohammad Abdallah and Dwivedi, Yogesh K. 2023. "A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities." Journal of Innovation and Knowledge. 8 (1), pp. 1-19. https://doi.org/10.1016/j.jik.2023.100333Article
A review of the key challenges of non-fungible tokens
Ali, Omar, Momin, Mujtaba, Shrestha, Anup, Das, Ronnie, Alhajj, Fadia and Dwivedi, Yogesh K.. 2023. "A review of the key challenges of non-fungible tokens." Technological Forecasting and Social Change. 187, pp. 1-13. https://doi.org/10.1016/j.techfore.2022.122248Article
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification
Abdulla, Shahab, Diykh, Mohammed, Siuly, Siuly and Ali, Mumtaz. 2023. "An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification." International Journal of Medical Informatics. 171, pp. 1-10. https://doi.org/10.1016/j.ijmedinf.2023.105001Article
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition
Diykh, Mohammed, Abdulla, Shahab, Deo, Ravinesh C, Siuly, Siuly and Ali, Mumtaz. 2023. "Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition." Computer Methods and Programs in Biomedicine. 229, pp. 1-11. https://doi.org/https://doi.org/10.1016/j.cmpb.2022.107305Article
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Sharma, Ekta, Jamei, Mozhdeh, Chu, Xuefeng and Yaseen, Zaher Mundher. 2023. "A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture." Engineering Applications of Artificial Intelligence. 120. https://doi.org/https://doi.org/10.1016/j.engappai.2023.105895Article
Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Karbasi, Masoud, Rai, Priya and Yaseen, Zaher Mundher. 2023. "Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting." Journal of Hydrology. 617 (Part C), pp. 1-21. https://doi.org/10.1016/j.jhydrol.2023.129105Article
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
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 C. and Randall, Rebecca (ed.) 2022. UniSQ Library Stories of 2022. Ipswich, Australia. University of Southern Queensland.Edited book
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
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, Schultz, Susanne, Sachdeva, Karanpal Singh, Thangavelu, Anbarasu and Tweedale, Robyn (ed.) 2021. Academic Success. Toowoomba, 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
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/math10234570Contribution to Journal
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. 2022. "A Conceptual Framework towards Knowledge Ambidexterity using Information Systems and Knowledge Management." The Journal of Information Systems. 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
Unrealised Potential: A survey of students as partners in Australian university libraries
Dollinger, Mollie, Salisbury, Fiona and Davis, Kate. 2022. "Unrealised Potential: A survey of students as partners in Australian university libraries." New Review of Academic Librarianship. 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
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 Denver, United States. https://doi.org/10.1109/pesgm48719.2022.9916751Paper
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
Pattern Recognition Techniques for Power Transformer Insulation Diagnosis - A Comparative Study Part 2: Implementation, Case Study, and Statistical Analysis
Cui, Yi, Ma, Hui and Saha, Tapan. 2014. "Pattern Recognition Techniques for Power Transformer Insulation Diagnosis - A Comparative Study Part 2: Implementation, Case Study, and Statistical Analysis." International Transactions on Electrical Energy Systems. 25 (10), pp. 2260-2274. https://doi.org/10.1002/etep.1963Article
Pattern Recognition Techniques for Power Transformer Insulation Diagnosis - A Comparative Study Part 1: Framework, Literature, and Illustration
Cui, Yi, Ma, Hui and Saha, Tapan. 2014. "Pattern Recognition Techniques for Power Transformer Insulation Diagnosis - A Comparative Study Part 1: Framework, Literature, and Illustration." International Transactions on Electrical Energy Systems. 25 (10), pp. 2247-2259. https://doi.org/doi;10.1002/etep.1959Article
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
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
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