Prediction of hydropower generation using grey wolf optimization adaptive neuro-fuzzy inference system M Dehghani, H Riahi-Madvar, F Hooshyaripor, A Mosavi, ... Energies 12 (2), 289, 2019 | 201 | 2019 |
Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte‐Carlo simulation M Dehghani, B Saghafian, F Nasiri Saleh, A Farokhnia, R Noori International Journal of Climatology 34 (4), 1169-1180, 2014 | 168 | 2014 |
Deep learning and machine learning in hydrological processes climate change and earth systems a systematic review S Ardabili, A Mosavi, M Dehghani, AR Várkonyi-Kóczy International Conference on Global Research and Education, 52-62, 2019 | 160 | 2019 |
Predicting the longitudinal dispersion coefficient using support vector machine and adaptive neuro-fuzzy inference system techniques R Noori, A Karbassi, A Farokhnia, M Dehghani Environmental Engineering Science 26 (10), 1503-1510, 2009 | 93 | 2009 |
Novel forecasting models for immediate-short-term to long-term influent flow prediction by combining ANFIS and grey wolf optimization M Dehghani, A Seifi, H Riahi-Madvar Journal of Hydrology 576, 698-725, 2019 | 91 | 2019 |
Uncertainty analysis of water quality index (WQI) for groundwater quality evaluation: Application of Monte-Carlo method for weight allocation A Seifi, M Dehghani, VP Singh Ecological Indicators 117, 106653, 2020 | 83 | 2020 |
Trend analysis and change point detection of seasonal and annual precipitation in Iran S Salehi, M Dehghani, SM Mortazavi, VP Singh International Journal of Climatology 40 (1), 308-323, 2020 | 80 | 2020 |
Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks N Nabipour, M Dehghani, A Mosavi, S Shamshirband IEEE Access 8, 15210-15222, 2020 | 79 | 2020 |
Comparative analysis of soft computing techniques RBF, MLP, and ANFIS with MLR and MNLR for predicting grade-control scour hole geometry H Riahi-Madvar, M Dehghani, A Seifi, E Salwana, S Shamshirband, ... Engineering Applications of Computational Fluid Mechanics 13 (1), 529-550, 2019 | 62 | 2019 |
Probabilistic hydrological drought index forecasting based on meteorological drought index using Archimedean copulas M Dehghani, B Saghafian, M Zargar Hydrology Research 50 (5), 1230-1250, 2019 | 57 | 2019 |
The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh R Salam, ARMT Islam, QB Pham, M Dehghani, N Al-Ansari, NTT Linh Scientific reports 10 (1), 1-21, 2020 | 54 | 2020 |
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices M Dehghani, S Salehi, A Mosavi, N Nabipour, S Shamshirband, ... Preprints, 2020 | 46 | 2020 |
Short to Long-Term Forecasting of River Flows by Heuristic Optimization Algorithms Hybridized with ANFIS H Riahi-Madvar, M Dehghani, R Memarzadeh, B Gharabaghi Water Resources Management 35 (4), 1149-1166, 2021 | 41 | 2021 |
Pareto Optimal Multigene Genetic Programming for Prediction of Longitudinal Dispersion Coefficient H Riahi-Madvar, M Dehghani, A Seifi, VP Singh Water resources management 33 (3), 905-921, 2019 | 39 | 2019 |
Derivation of optimized equations for estimation of dispersion coefficient in natural streams using hybridized ANN with PSO and CSO algorithms H Riahi-Madvar, M Dehghani, R Memarzadeh, A Mosavi, S Shahab, ... IEEE Access, 2020 | 34 | 2020 |
A simple mathematical model to predict sea surface temperature over the northwest Indian Ocean R Noori, MR Abbasi, JF Adamowski, M Dehghani Estuarine, Coastal and Shelf Science 197, 236-243, 2017 | 32 | 2017 |
Effect of ENSO on annual maximum floods and volume over threshold in the southwestern region of Iran B Saghafian, A Haghnegahdar, M Dehghani Hydrological sciences journal 62 (7), 1039-1049, 2017 | 31 | 2017 |
A novel equation for longitudinal dispersion coefficient prediction based on the hybrid of SSMD and whale optimization algorithm R Memarzadeh, HG Zadeh, M Dehghani, H Riahi-Madvar, A Seifi, ... Science of The Total Environment 716, 137007, 2020 | 30 | 2020 |
Evaluation of dynamic regression and artificial neural networks models for real-time hydrological drought forecasting M Dehghani, B Saghafian, F Rivaz, A Khodadadi Arabian Journal of Geosciences 10 (12), 266, 2017 | 24 | 2017 |
Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models GC Wang, Q Zhang, SS Band, M Dehghani, K Chau, QT Tho, S Zhu, ... Engineering Applications of Computational Fluid Mechanics 16 (1), 1364-1381, 2022 | 23 | 2022 |