Assessment of groundwater quality and its suitability for drinking and agricultural uses in the Oshnavieh Area, Northwest of Iran N Aghazadeh, AA Mogaddam Journal of Environmental protection 1 (01), 30, 2010 | 295 | 2010 |
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 | 248 | 2008 |
Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran E Fijani, AA Nadiri, AA Moghaddam, FTC Tsai, B Dixon Journal of hydrology 503, 89-100, 2013 | 204 | 2013 |
Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models R Barzegar, E Fijani, AA Moghaddam, E Tziritis Science of the Total Environment 599, 20-31, 2017 | 198 | 2017 |
Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran R Barzegar, J Adamowski, AA Moghaddam Stochastic environmental research and risk assessment 30, 1797-1819, 2016 | 179 | 2016 |
Investigation of hydrochemical characteristics of groundwater in the Harzandat aquifer, Northwest of Iran N Aghazadeh, AA Mogaddam Environmental monitoring and assessment 176 (1), 183-195, 2011 | 175 | 2011 |
Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms R Barzegar, AA Moghaddam, R Deo, E Fijani, E Tziritis Science of the total environment 621, 697-712, 2018 | 164 | 2018 |
Prediction of effluent quality parameters of a wastewater treatment plant using a supervised committee fuzzy logic model AA Nadiri, S Shokri, FTC Tsai, AA Moghaddam Journal of cleaner production 180, 539-549, 2018 | 161 | 2018 |
Groundwater quality ranking for drinking purposes, using the entropy method and the spatial autocorrelation index AD Gorgij, O Kisi, AA Moghaddam, A Taghipour Environmental earth sciences 76, 1-9, 2017 | 145 | 2017 |
Groundwater vulnerability indices conditioned by supervised intelligence committee machine (SICM) AA Nadiri, M Gharekhani, R Khatibi, S Sadeghfam, AA Moghaddam Science of the Total Environment 574, 691-706, 2017 | 131 | 2017 |
A fuzzy-logic based decision-making approach for identification of groundwater quality based on groundwater quality indices M Vadiati, A Asghari-Moghaddam, M Nakhaei, J Adamowski, ... Journal of Environmental Management 184, 255-270, 2016 | 117 | 2016 |
Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model R Barzegar, AA Moghaddam, J Adamowski, B Ozga-Zielinski Stochastic Environmental Research and Risk Assessment, 1-15, 2017 | 114 | 2017 |
Distribution of fluoride in groundwater of Maku area, northwest of Iran A Asghari Moghaddam, E Fijani Environmental Geology 56, 281-287, 2008 | 114 | 2008 |
Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran R Barzegar, AA Moghaddam, E Tziritis, MS Fakhri, S Soltani Environmental Earth Sciences 76, 1-16, 2017 | 106 | 2017 |
Assessing the potential origins and human health risks of trace elements in groundwater: A case study in the Khoy plain, Iran AHN Rahim Barzegar, Asghar Asghari Moghaddam, Jan Adamowski Environmental Geochemistry and Health, 2019 | 104 | 2019 |
Supervised committee machine with artificial intelligence for prediction of fluoride concentration AA Nadiri, E Fijani, FTC Tsai, A Asghari Moghaddam Journal of Hydroinformatics 15 (4), 1474-1490, 2013 | 98 | 2013 |
Prediction and structural uncertainty analyses of artificial neural networks using hierarchical Bayesian model averaging N Chitsazan, AA Nadiri, FTC Tsai Journal of Hydrology 528, 52-62, 2015 | 96 | 2015 |
A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran R Barzegar, AA Moghaddam, H Baghban Stochastic environmental research and risk assessment 30, 883-899, 2016 | 95 | 2016 |
Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models AA Nadiri, M Gharekhani, R Khatibi, AA Moghaddam Environmental Science and Pollution Research 24, 8562-8577, 2017 | 94 | 2017 |
Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction R Barzegar, A Asghari Moghaddam Modeling Earth Systems and Environment 2, 1-13, 2016 | 94 | 2016 |