460207. Modelling and simulation
| Title | 460207. Modelling and simulation |
|---|---|
| Parent | 4602. Artificial intelligence |
Latest research outputs
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SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection
Sahi, Aqeel, Albdair, Mostfa, Diykh, Mohammed, Abdulla, Shahab, Alghayab, Hadi, Aljebur, Kaled and Alkhafaji, Sarmad K.D.. 2025. "SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection." Expert Systems with Applications. 281. https://doi.org/10.1016/j.eswa.2025.127572Article
Epileptic seizure prediction with machine learning on EEG data
Ra, Jee Sook. 2025. Epileptic seizure prediction with machine learning on EEG data. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zwv98PhD by Publication
Multi‑step solar ultraviolet index prediction: integrating convolutional neural networks with long short‑term memory for a representative case study in Queensland, Australia
AL-Musaylh, Mohan, Al‑Dafaie, Kadhem, Downs, Nathan, Ghimire, Sujan, Ali, Mumtaz, Yaseen, Zaher Mundher, Igoe, Damien P., Deo, Ravinesh C., Paris, Alfo V. and A. Jebar, Mustapha A.. 2025. "Multi‑step solar ultraviolet index prediction: integrating convolutional neural networks with long short‑term memory for a representative case study in Queensland, Australia." Modeling Earth Systems and Environment. 11. https://doi.org/https://link.springer.com/article/10.1007/s40808-024-02282-yArticle
STI/HIV Risk Prediction Model Development-A Novel Use of Public Data To Forecast STIs/HIV Risk For Men Who Have Sex With Men
Ji, Xiaopeng, Tang, Zhaohui, Osborne, Sonya R., Nguyen, Thi Phuoc Van, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2025. "STI/HIV Risk Prediction Model Development-A Novel Use of Public Data To Forecast STIs/HIV Risk For Men Who Have Sex With Men." Frontiers in Public Health. 12. https://doi.org/10.3389/fpubh.2024.1511689Article
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
Ali, Mumtaz, Nayahi, Jesu Vedha, Abdi, Erfan, Ghorbani, Mohammad Ali, Mohajeri, Farzan, Farooque, Aitazaz A. and Alamery, Salman. 2025. "Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory ." Ecological Informatics. 85. https://doi.org/10.1016/j.ecoinf.2025.102995Article
Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts
Ghimire, Sujan, AL-Musaylh, Mohanad S., Nguyen-Huy, Thong, Deo, Ravinesh C., Acharya, Rajendra, Casillas-Perez, David, Yaseen, Zaher Mundher and Salcedo-sanz, Sancho. 2025. "Explainable deeply-fused nets electricity demand prediction model: Factoring climate predictors for accuracy and deeper insights with probabilistic confidence interval and point-based forecasts." Applied Energy. 378 (Part A). https://doi.org/10.1016/j.apenergy.2024.124763Article
Superior decomposition of xenobiotic dyes and pharmaceutical contaminants in wastewater using response surface methodology, artificial intelligence and machine learning for optimisation of a novel three-dimensional electrochemical technology
Ganthavee, Voravich. 2024. Superior decomposition of xenobiotic dyes and pharmaceutical contaminants in wastewater using response surface methodology, artificial intelligence and machine learning for optimisation of a novel three-dimensional electrochemical technology. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zqyq2PhD by Publication
Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review
Kaur, Avneet, Randhawa, Gurjit S., Abbas, Farhat, Ali, Mumtaz, Esau, Travis J., Farooque, Aitazaz A. and Singh, Rajandeep. 2024. "Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review." IEEE Access. 12, pp. 193902-193922. https://doi.org/10.1109/ACCESS.2024.3510456Article
A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation
Ali, Mumtaz, Prasad, Ramendra, Alamery, Salman and Farooque, Aitazaz Ahsan. 2024. "A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation." Results in Engineering. 24. https://doi.org/10.1016/j.rineng.2024.103607Article
High Security and Privacy Protection Model for STI/HIV Risk Prediction
Tang, Zhaohui, Nguyen, Thi Phuoc Van, Yang, Wencheng, Xia, Xiaoyu, Chen, Huaming, Mullens, Amy B., Dean, Judith A., Osborne, Sonya and Li, Yan. 2024. "High Security and Privacy Protection Model for STI/HIV Risk Prediction." Digital Health. 10, pp. 1-14. https://doi.org/DOI:10.1177/20552076241298425Article
Forecasting Multi-Step Soil Moisture with Three-Phase Hybrid Wavelet-Least Absolute Shrinkage Selection Operator-Long Short-Term Memory Network (moDWT-Lasso-LSTM) Model
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Raj, Nawin, Ghimire, Sujan, Yaseen, Zaher Mundher, Nguyen-Huy, Thong and Ghahramani, Afshin. 2024. "Forecasting Multi-Step Soil Moisture with Three-Phase Hybrid Wavelet-Least Absolute Shrinkage Selection Operator-Long Short-Term Memory Network (moDWT-Lasso-LSTM) Model." Water. 16 (21), p. 3133. https://doi.org/10.3390/w16213133Article
Applied Deep Learning for Artificial Intelligence-enabled Wireless Communication
Davey, Christopher P. 2024. Applied Deep Learning for Artificial Intelligence-enabled Wireless Communication. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zq1z6PhD by Publication
Real-time prediction of the week-ahead flood index using hybrid deep learning algorithms with synoptic climate mode indices
Ahmed, A.A. Masrur, Akther, Shahida, Nguyen-Huy, Thong, Raj, Nawin, Jui (Student), S Janifer and S.Z., Farzana. 2024. "Real-time prediction of the week-ahead flood index using hybrid deep learning algorithms with synoptic climate mode indices." Journal of Hydro-Environment Research. 57, pp. 12-26. https://doi.org/10.1016/j.jher.2024.09.001Article
Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands
Chand, Ravinesh. 2024. Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y7zMasters Thesis
Atmospheric visibility and cloud cover forecasting with novel artificial intelligence methods for Fiji's aviation sector
Raj, Shiveel. 2024. Atmospheric visibility and cloud cover forecasting with novel artificial intelligence methods for Fiji's aviation sector. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y1yMasters Thesis
Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia
Raj, Nawin, Murali, Jaishukh, Singh-Peterson, Lila and Downs, Nathan. 2024. "Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia." Mathematics. 12 (15). https://doi.org/10.3390/math12152376Article
Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems
Wang, Eric, Collins, Brian, Attard, Steve and Everingham, Yvette. 2024. "Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems." 45th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2024). Townsville, Australia 15 - 19 Apr 2024 Australia. Australian Society of Sugar Cane Technologists.Paper
DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals
Kirik, Serkan, Tasci, Irem, Barua, Prabal D., Yildiz, Arif Metehan, Keles, Tugce, Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Tuncer, Turker, Devi, Aruna, Tan, Ru-San and Acharya, U.R.. 2024. "DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals." Knowledge-Based Systems. 300. https://doi.org/10.1016/j.knosys.2024.112150Article
An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals
Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker and Acharya, U. Rajendra. 2024. "An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals." Engineering Applications of Artificial Intelligence. 133 (Part D). https://doi.org/10.1016/j.engappai.2024.108306Article
Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model
Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. "Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model." IEEE Access. 12, pp. 58750-58777. https://doi.org/10.1109/ACCESS.2024.3392899Article
Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models
Abdi, Erfan, Ali, Mumtaz, Guimarães Santos, Celso Augusto, Olusola, Adeyemi and Ghorbani, Mohammad Ali. 2024. "Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models." Groundwater for Sustainable Development. 26. https://doi.org/10.1016/j.gsd.2024.101213Article
Copula-Probabilistic Flood Risk Analysis with an Hourly Flood Monitoring Index
Chand, Ravinesh, Nguyen-Huy, Thong, Deo, Ravinesh C., Ghimire, Sujan, Ali, Mumtaz and Ghahramani, Afshin. 2024. "Copula-Probabilistic Flood Risk Analysis with an Hourly Flood Monitoring Index." Water. 16 (11). https://doi.org/10.3390/w16111560Article
Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia
Raj, Nawin and Prakash, Reema. 2024. "Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia." Sustainable Horizons . 11. https://doi.org/10.1016/j.horiz.2024.100098Article
Assessment and Prediction of Sea Level and Coastal Wetland Changes in Small Islands Using Remote Sensing and Artificial Intelligence
Raj, Nawin and Pasfield-Neofitou, Sarah. 2024. "Assessment and Prediction of Sea Level and Coastal Wetland Changes in Small Islands Using Remote Sensing and Artificial Intelligence." Remote Sensing. 16 (3), p. 551. https://doi.org/10.3390/rs16030551Article
Artificial intelligence informed simulation of dissolved Inorganic Nitrogen from ungauged catchments to the Great Barrier Reef
O’Sullivan, Cherie. 2023. Artificial intelligence informed simulation of dissolved Inorganic Nitrogen from ungauged catchments to the Great Barrier Reef. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z6206PhD by Publication
A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices
Collins, Brian, Attard, Steve, Banhalmi-Zakar, Zsuzsa and Everingham, Yvette. 2023. "A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices." Computers and Electronics in Agriculture. 215. https://doi.org/10.1016/j.compag.2023.108380Article
Solar ultraviolet radiation predictions under cloud cover effects with artificial intelligence approaches
Prasad, Salvin Sanjesh. 2023. Solar ultraviolet radiation predictions under cloud cover effects with artificial intelligence approaches. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z3qq0PhD by Publication
Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media
Gopalakrishnan, Abinaya, Gururajan, Raj, Venkataraman, Revathi, Zhou, Xujuan, Chan, Ka Chan, Saravanan, Arul and Sen, Maitrayee. 2023. "Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media." Brain Informatics. 10. https://doi.org/10.1186/s40708-023-00206-7Article
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images
Inamdar, Mahesh Anil, Raghavendra, U., Gudigar, Anjan, Bhandary, Sarvesh, Salvi, Massimo, Deo, Ravinesh C., Barua, Prabal Datta, Ciaccio, Edward J., Molinari, Filippo and Acharya, RU. Rajendra. 2023. "A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images." IEEE Access. 11, pp. 108982-108994. https://doi.org/10.1109/ACCESS.2023.3321273Article
Evaporation and soil moisture prediction with artificial intelligence and deep learning methods
Jayasinghe Mudiyanselage, W.J.M. Lakmini Prarthana. 2023. Evaporation and soil moisture prediction with artificial intelligence and deep learning methods. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z1zw4PhD by Publication
Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables." Energy and AI. 14. https://doi.org/10.1016/j.egyai.2023.100302Article
A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network
Ra, Jee Sook, Li, Tianning and Li, Yan. 2023. "A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network." Computer Methods and Programs in Biomedicine. 240. https://doi.org/10.1016/j.cmpb.2023.107678Article
Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia
Raj, Nawin and Brown, Jason. 2023. "Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia." Remote Sensing. 15 (11). https://doi.org/10.3390/rs15112881Article
A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh, Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction." Energy. 275, p. 127430. https://doi.org/10.1016/j.energy.2023.127430Article
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
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
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
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. 2023. "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
Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources
Zhu, Lin, Zhao, Yinfeng, Cui, Yi, You, Shutang, Yu, Wenpeng, Liu, Shengyuan, Yin, He, Chen, Chang, Wu, Yuru, Qiu, Wei, Mandich, Mirka, Li, Hongyu, Ademola, Adedasola, Zhang, Chengwen, Zeng, Chujie, Jia, Xinlan, Wang, Weikang, Yuan, Haoyu, Jiang, Huaiguang, ..., Liu, Yilu. 2021. "Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources." High Voltage. 6 (6), pp. 924-937. https://doi.org/10.1049/hve2.12157Article
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