Applications of hybrid wavelet–artificial intelligence models in hydrology: a review V Nourani, AH Baghanam, J Adamowski, O Kisi Journal of Hydrology 514, 358-377, 2014 | 733 | 2014 |
A multivariate ANN-wavelet approach for rainfall–runoff modeling V Nourani, M Komasi, A Mano Water resources management 23, 2877-2894, 2009 | 438 | 2009 |
A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation V Nourani, MT Alami, MH Aminfar Engineering Applications of Artificial Intelligence 22 (3), 466-472, 2009 | 424 | 2009 |
Two hybrid artificial intelligence approaches for modeling rainfall–runoff process V Nourani, Ö Kisi, M Komasi Journal of Hydrology 402 (1-2), 41-59, 2011 | 417 | 2011 |
A review of the artificial intelligence methods in groundwater level modeling T Rajaee, H Ebrahimi, V Nourani Journal of hydrology 572, 336-351, 2019 | 339 | 2019 |
Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models T Rajaee, SA Mirbagheri, M Zounemat-Kermani, V Nourani Science of the total environment 407 (17), 4916-4927, 2009 | 291 | 2009 |
An ANN‐based model for spatiotemporal groundwater level forecasting V Nourani, AA Mogaddam, AO Nadiri Hydrological Processes: An International Journal 22 (26), 5054-5066, 2008 | 249 | 2008 |
Wastewater treatment plant performance analysis using artificial intelligence–an ensemble approach V Nourani, G Elkiran, SI Abba Water Science and Technology 78 (10), 2064-2076, 2018 | 222 | 2018 |
Sensitivity analysis of the artificial neural network outputs in simulation of the evaporation process at different climatologic regimes V Nourani, MS Fard Advances in Engineering Software 47 (1), 127-146, 2012 | 209 | 2012 |
Using self-organizing maps and wavelet transforms for space–time pre-processing of satellite precipitation and runoff data in neural network based rainfall–runoff modeling V Nourani, AH Baghanam, J Adamowski, M Gebremichael Journal of hydrology 476, 228-243, 2013 | 201 | 2013 |
Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach G Elkiran, V Nourani, SI Abba Journal of Hydrology 577, 123962, 2019 | 200 | 2019 |
An emotional ANN (EANN) approach to modeling rainfall-runoff process V Nourani Journal of Hydrology 544, 267-277, 2017 | 184 | 2017 |
Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models V Nourani, B Pradhan, H Ghaffari, SS Sharifi Natural hazards 71, 523-547, 2014 | 176 | 2014 |
River suspended sediment load prediction: application of ANN and wavelet conjunction model T Rajaee, V Nourani, M Zounemat-Kermani, O Kisi Journal of Hydrologic Engineering 16 (8), 613-627, 2011 | 173 | 2011 |
Wavelet-entropy data pre-processing approach for ANN-based groundwater level modeling V Nourani, MT Alami, FD Vousoughi Journal of Hydrology 524, 255-269, 2015 | 170 | 2015 |
Genetic programming in water resources engineering: A state-of-the-art review AD Mehr, V Nourani, E Kahya, B Hrnjica, AMA Sattar, ZM Yaseen Journal of hydrology 566, 643-667, 2018 | 157 | 2018 |
A hybrid support vector regression–firefly model for monthly rainfall forecasting A Danandeh Mehr, V Nourani, V Karimi Khosrowshahi, MA Ghorbani International Journal of Environmental Science and Technology 16, 335-346, 2019 | 141 | 2019 |
A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process V Nourani, M Komasi Journal of Hydrology 490, 41-55, 2013 | 136 | 2013 |
Hybrid wavelet–genetic programming approach to optimize ANN modeling of rainfall–runoff process V Nourani, M Komasi, MT Alami Journal of Hydrologic Engineering 17 (6), 724-741, 2012 | 132 | 2012 |
Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements V Nourani, G Elkiran, J Abdullahi Journal of Hydrology 577, 123958, 2019 | 125 | 2019 |