460207. Modelling and simulation
| Title | 460207. Modelling and simulation |
|---|---|
| Parent | 4602. Artificial intelligence |
Latest research outputs
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Hybrid deep learning method for a week-ahead evapotranspiration forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "Hybrid deep learning method for a week-ahead evapotranspiration forecasting." Stochastic Environmental Research and Risk Assessment. 36 (3), pp. 831-849. https://doi.org/10.1007/s00477-021-02078-xArticle
Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks
Ghimire, Sujan, Yaseen, Zaher Mundher, Farooque, Aitazaz A., Deo, Ravinesh C., Zhang, Ji and Tao, Xiaohui. 2021. "Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks." Scientific Reports. 11, pp. 1-26. https://doi.org/10.1038/s41598-021-96751-4Article
An integrated systems model for sustainable agricultural development under changing climate: a case study in a coffee production system in Viet Nam
Pham, Yen Hoang. 2021. An integrated systems model for sustainable agricultural development under changing climate: a case study in a coffee production system in Viet Nam. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/dbty-kn67PhD Thesis
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554Article
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3Article
A new framework for classification of multi-category hand grasps using EMG signals
Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab, Siuly, Siuly, Green, Jonathan H. and Deo, Ravinesh C.. 2021. "A new framework for classification of multi-category hand grasps using EMG signals." Artificial Intelligence in Medicine. 112, pp. 1-14. https://doi.org/10.1016/j.artmed.2020.102005Article
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350Article
Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models
Bayatvarkeshi, Maryam, Bhagat, Suraj Kumar, Mohammadi, Kourosh, Kisi, Ozgur, Farahani, M., Hasani, A., Deo, Ravinesh and Yaseen, Zaher Mundher. 2021. "Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models." Computers and Electronics in Agriculture. 185. https://doi.org/10.1016/j.compag.2021.106158Article
Multiscale entropy algorithms and their applications in cardiac disease discrimination
Wan, Xiangkui, Zhu, Binru, Jin, Zhiyao, Zhang, Mingru and Li, Yan. 2020. "Multiscale entropy algorithms and their applications in cardiac disease discrimination." Journal of Mechanics in Medicine and Biology. 20 (8), pp. 1-13. https://doi.org/10.1142/S0219519420500529Article
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002Article
Functional-structural plant models mission in advancing crop science: opportunities and prospects
Soualiou, Soualihou, Wang, Zhiwei, Sun, Weiwei, de Reffye, Philippe, Collins, Brian, Louarn, Gaëtan and Song, Youhong. 2021. "Functional-structural plant models mission in advancing crop science: opportunities and prospects." Frontiers in Plant Science. 12. https://doi.org/10.3389/fpls.2021.747142Article
Stroke Classification in Simulated Electromagnetic Imaging Using Graph Approaches
Zhu, Guohun, Bialkowski, Alina, Guo, Lei, Mohammed, Beadaa and Abbosh, Amin. 2021. "Stroke Classification in Simulated Electromagnetic Imaging Using Graph Approaches ." IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology. 5 (1), pp. 46-53. https://doi.org/10.1109/JERM.2020.2995329Article
MARS model for prediction of short- and long-term global solar radiation
Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Roy, Sanjiban Sekhar and Samui, Pijush (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. United Kingdom. Elsevier. pp. 391-436Edited book (chapter)
Developing reservoir evaporation predictive model for successful dam management
Allawi, Mohammed Falah, Ahmed, Mohammed Lateef, Aidan, Ibraheem Abdallah, Deo, Ravinesh C. and El-Shafie, Ahmed. 2021. "Developing reservoir evaporation predictive model for successful dam management." Stochastic Environmental Research and Risk Assessment. 35 (2), pp. 499-514. https://doi.org/10.1007/s00477-020-01918-6Article
Brain network, modelling and corresponding EEG patterns for health and disease states
Al-Hossenat, Auhood Hadi Jabbar. 2020. Brain network, modelling and corresponding EEG patterns for health and disease states. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/7xxq-3k23PhD Thesis
Probabilistic and artificial intelligence modelling of drought and agricultural crop yield in Pakistan
Ali, Mumtaz. 2019. Probabilistic and artificial intelligence modelling of drought and agricultural crop yield in Pakistan. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/S847-M467PhD Thesis
Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods
Prasad, Ramendra, Charan, Dhrishna, Joseph, Lionel, Nguyen-Huy, Thong, Deo, Ravinesh C. and Singh, Sanjay. 2021. "Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 359-381Edited book (chapter)
Artificial neural networks for prediction of Steadman Heat Index
Chand, Bhuwan, Nguyen-Huy, Thong and Deo, Ravinesh C.. 2021. "Artificial neural networks for prediction of Steadman Heat Index." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 293-357Edited book (chapter)
Spatial prediction of landslide susceptibility using random forest algorithm
Rahmati, Omid, Kornejady, Aiding and Deo, Ravinesh C.. 2021. "Spatial prediction of landslide susceptibility using random forest algorithm." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 281-292Edited book (chapter)
Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction
Nguyen-Huy, Thong, Deo, Ravinesh C., Yaseen, Zaher Mundher, Mushtaq, Shahbaz and Prasad, Ramendra. 2021. "Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 29-47Edited book (chapter)
Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation
Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher. 2021. Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer.Edited book
Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Deo, Ravinesh C.. 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms." Renewable and Sustainable Energy Reviews. 132. https://doi.org/10.1016/j.rser.2020.110003Article
Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2020. "Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms." Energies. 13 (9). https://doi.org/10.3390/en13092307Article
Human Head Modelling Simulation Applied to Electroconvulsive Therapy
Menezes de Oliveira, Marilia, Song, Bo, Ahfock, Tony, Li, Yan and Wen, Paul. 2018. "Human Head Modelling Simulation Applied to Electroconvulsive Therapy." Abreu de Souza, Mauren, Remigio Gamba, Humberto and Pedrini, Helio (ed.) Multi-Modality Imaging: Applications and Computational Techniques. Cham, Switzerland. Springer. pp. 103-133Edited book (chapter)
Modelling of heat stress in a robotic dairy farm. Part 3: rumination and milking performance
Ji, Boyu, Banhazi, Thomas, Ghahramani, Afshin, Bowtell, Les, Wang, Chaoyuan and Li, Baoming. 2020. "Modelling of heat stress in a robotic dairy farm. Part 3: rumination and milking performance." Biosystems Engineering. 199, pp. 58-72. https://doi.org/10.1016/j.biosystemseng.2020.02.006Article
Simulation α of EEG using brain network model
Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2017. "Simulation α of EEG using brain network model." Al-Mahaidi, Riadh, Al-Mosawe, Alaa and Al-Younis, Mohamed (ed.) First MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017). Melbourne, Australia 05 - 06 Dec 2017 Melbourne, Australia.Paper
K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model." Neuroscience. 422, pp. 119-133. https://doi.org/10.1016/j.neuroscience.2019.10.034Article
Simulation study on passive buildings’ demand incentive based on evolutionary game
Liu, Kai, Zhou, Hongmin, Kou, Yuanyuan, Zhang, Jiabao, Zhou, Xujuan and Zhang, Xiantang. 2019. "Simulation study on passive buildings’ demand incentive based on evolutionary game." Journal of Intelligent and Fuzzy Systems. 37, pp. 3163-3174. https://doi.org/10.3233/JIFS-179118Article
Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247Article
Modelling and simulating different bands of EEG signals with the virtual brain
Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2019. "Modelling and simulating different bands of EEG signals with the virtual brain." International Journal of Electrical, Electronics and Data Communication. 7 (5), pp. 66-70.Article
Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme
Tao, Hai, Ebtehaj, Isa, Bonakdari, Hossein, Heddam, Salim, Voyant, Cyril, Al-Ansari, Nadhir, Deo, Ravinesh and Yaseen, Zaheer Mundher. 2019. "Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme." Energies. 12 (7), pp. 1-24. https://doi.org/10.3390/en12071365Article
Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features
Al-Salman, Wessam, Li, Yan and Wen, Paul. 2019. "Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features ." Frontiers in Neuroinformatics. 13 (45), pp. 1-19. https://doi.org/10.3389/fninf.2019.00045Article
PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches
Rahmati, Omid, Kornejady, Aiding, Samadi, Mahmood, Deo, Ravinesh C., Conoscenti, Christian, Lombardo, Luigi, Dayal, Kavina, Taghizadeh-Mehrjardi, Ruhollah, Pourghasemi, Hamid Reza, Kumar, Sandeep and Bui, Dieu Tien. 2019. "PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches." Science of the Total Environment. 664, pp. 296-311. https://doi.org/10.1016/j.scitotenv.2019.02.017Article
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min, Yin, Zhenliang, Yang, Linshan and Singh, Vijay P.. 2019. "Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems." Journal of Hydrology. 570, pp. 167-184. https://doi.org/10.1016/j.jhydrol.2018.12.060Article
Streamflow and soil moisture forecasting with hybrid data intelligent machine learning approaches: case studies in the Australian Murray-Darling basin
Prasad, Ramendra. 2018. Streamflow and soil moisture forecasting with hybrid data intelligent machine learning approaches: case studies in the Australian Murray-Darling basin . PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5f6974e4dccd5PhD Thesis
New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm
Meshram, Sarita Gajbhiye, Ghorbani, M. A., Deo, Ravinesh C., Kashani, Mahsa Hasanpour, Meshram, Chandrashekhar and Karimi, Vahid. 2019. "New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm." Water Resources Management. 33 (7), pp. 2335-2356. https://doi.org/10.1007/s11269-019-02265-0Article
An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction
Yaseen, Zaher Mundher, Sulaiman, Sadeq Oleiwi, Deo, Ravinesh C. and Chau, Kwok-Wing. 2019. "An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction." Journal of Hydrology. 569, pp. 387-408. https://doi.org/10.1016/j.jhydrol.2018.11.069Article
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158Article
Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2018. "Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset." Huang, Q. and Kolhe, M. (ed.) 3rd International Conference on Power and Renewable Energy (ICPRE 2018). Berlin, Germany 21 - 24 Sep 2018 Germany. https://doi.org/10.1051/e3sconf/20186408001Paper
Using crop growth model stress covariates and AMMI decomposition to better predict genotype by environment interactions
Rincent, R., Malosetti, M., Collins, B., Ababaei, B., Touzy, G., Mini, A., Bogard, M., Martre, P., Le Gouis, J. and van Eeuwijk, F.. 2019. "Using crop growth model stress covariates and AMMI decomposition to better predict genotype by environment interactions." Theoretical and Applied Genetics: international journal of plant breeding research. 132 (12), pp. 3399-3411. https://doi.org/10.1007/s00122-019-03432-yArticle