A new methodology for reference evapotranspiration prediction and uncertainty analysis under climate change conditions based on machine learning, multi criteria decision making … M Kadkhodazadeh, M Valikhan Anaraki, A Morshed-Bozorgdel, S Farzin Sustainability 14 (5), 2601, 2022 | 51 | 2022 |
A Novel LSSVM Model Integrated with GBO Algorithm to Assessment of Water Quality Parameters M Kadkhodazadeh, S Farzin Water resources management 35 (12), 3939-3968, 2021 | 47 | 2021 |
A novel framework based on the stacking ensemble machine learning (SEML) method: application in wind speed modeling A Morshed-Bozorgdel, M Kadkhodazadeh, M Valikhan Anaraki, S Farzin Atmosphere 13 (5), 758, 2022 | 20 | 2022 |
Introducing a novel hybrid machine learning model and developing its performance in estimating water quality parameters M Kadkhodazadeh, S Farzin Water Resources Management 36 (10), 3901-3927, 2022 | 14 | 2022 |
Predicting rainfall response to climate change and uncertainty analysis: Introducing a novel downscaling CMIP6 models technique based on the stacking ensemble machine learning MV Anaraki, M Kadkhodazadeh, A Morshed-Bozorgdel, S Farzin Journal of Water and Climate Change 14 (10), 3671-3691, 2023 | 7 | 2023 |
A novel hybrid framework based on the ANFIS, discrete wavelet transform, and optimization algorithm for the estimation of water quality parameters M Kadkhodazadeh, S Farzin Journal of Water and Climate Change 13 (8), 2940-2961, 2022 | 5 | 2022 |
A new methodology for reference evapotranspiration prediction and uncertainty analysis under climate change conditions based on machine learning, multi criteria decision making … M Kadkhodazadeh, MV Anaraki, A Morshed-Bozorgdel, S Farzin | 5 | 2022 |