| Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition M Ali, R Prasad Renewable and Sustainable Energy Reviews 104, 281-295, 2019 | 199 | 2019 |
| Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition R Prasad, RC Deo, Y Li, T Maraseni Geoderma 330, 136-161, 2018 | 187 | 2018 |
| Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts M Ali, R Prasad, Y Xiang, ZM Yaseen Journal of Hydrology 584, 124647, 2020 | 183 | 2020 |
| Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation R Prasad, M Ali, P Kwan, H Khan Applied energy 236, 778-792, 2019 | 176 | 2019 |
| Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm R Prasad, RC Deo, Y Li, T Maraseni Atmospheric Research 197, 42-63, 2017 | 160 | 2017 |
| Designing deep-based learning flood forecast model with ConvLSTM hybrid algorithm M Moishin, RC Deo, R Prasad, N Raj, S Abdulla IEEE Access 9, 50982-50993, 2021 | 126 | 2021 |
| Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach R Prasad, RC Deo, TN Maraseni, Y Li Catena 177 (2019), 149-166, 2019 | 117 | 2019 |
| Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions H Apaydin, MT Sattari, K Falsafian, R Prasad Journal of Hydrology 600, 126506, 2021 | 98 | 2021 |
| Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms M Ali, R Prasad, Y Xiang, RC Deo Renewable and Sustainable Energy Reviews 132, 110003, 2020 | 93 | 2020 |
| A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms E Sharma, RC Deo, R Prasad, AV Parisi Science of the Total Environment 709, 135934, 2020 | 84 | 2020 |
| Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation MT Sattari, H Apaydin, SS Band, A Mosavi, R Prasad Hydrology and Earth System Sciences 25 (2), 603-618, 2021 | 78 | 2021 |
| Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors R Prasad, RC Deo, Y Li, T Maraseni Soil and Tillage Research 181, 63-81, 2018 | 75 | 2018 |
| Near real-time wind speed forecast model with bidirectional LSTM networks LP Joseph, RC Deo, R Prasad, S Salcedo-Sanz, N Raj, J Soar Renewable Energy 204, 39-58, 2023 | 69 | 2023 |
| A double decomposition-based modelling approach to forecast weekly solar radiation R Prasad, M Ali, Y Xiang, H Khan Renewable Energy 152, 9-22, 2020 | 66 | 2020 |
| Assessing the sustainable municipal solid waste (MSW) to electricity generation potentials in selected Pacific Small Island Developing States (PSIDS) LP Joseph, R Prasad Journal of Cleaner Production 248, 119222, 2020 | 63 | 2020 |
| Deep air quality forecasts: suspended particulate matter modeling with convolutional neural and long short-term memory networks E Sharma, RC Deo, R Prasad, AV Parisi, N Raj Ieee Access 8, 209503-209516, 2020 | 56 | 2020 |
| Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture LP Joseph, EA Joseph, R Prasad Computers in Biology and Medicine 151, 106178, 2022 | 55 | 2022 |
| Variational mode decomposition based random forest model for solar radiation forecasting: new emerging machine learning technology M Ali, R Prasad, Y Xiang, M Khan, AA Farooque, T Zong, ZM Yaseen Energy Reports 7, 6700-6717, 2021 | 46 | 2021 |
| Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression … A Malik, M Jamei, M Ali, R Prasad, M Karbasi, ZM Yaseen Agricultural Water Management 272, 107812, 2022 | 41 | 2022 |
| Hybrid convolutional neural network-multilayer perceptron model for solar radiation prediction S Ghimire, T Nguyen-Huy, R Prasad, RC Deo, D Casillas-Pérez, ... Cognitive Computation 15 (2), 645-671, 2023 | 37 | 2023 |
Professor Ravinesh Deo, Highly Cited...Professor in Mathematics and Artificial IntelligenceGeverifieerd e-mailadres voor usq.edu.au