| 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 | 161 | 2008 |
| Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran. Elham Fijania, Ata Allah Nadiri, Asghar Asghari Journal of Hydrology, 2013 | 139 | 2013 |
| 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 | 69 | 2017 |
| 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 | 58 | 2018 |
| 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 | 55 | 2015 |
| 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 | 55 | 2013 |
| Bayesian Artificial Intelligence Model Averaging for Hydraulic Conductivity Estimation A Nadiri, A., Chitsazan, N., Tsai, F., and Moghaddam J. Hydrol. Eng.,, 2013 | 47* | 2013 |
| 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 (9), 8562-8577, 2017 | 46 | 2017 |
| Supervised intelligent committee machine method for hydraulic conductivity estimation G Tayfur, AA Nadiri, AA Moghaddam Water resources management 28 (4), 1173-1184, 2014 | 43 | 2014 |
| Localization of groundwater vulnerability assessment using catastrophe theory S Sadeghfam, Y Hassanzadeh, AA Nadiri, M Zarghami Water resources management 30 (13), 4585-4601, 2016 | 37 | 2016 |
| Hydrogeochemical Analysis for Tasuj Plain Aquifer, Iran AA Nadiri, AA Moghaddam, TCT Frank, E Fijani | 37 | 2013 |
| Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structures AA Nadiri, Z Sedghi, R Khatibi, M Gharekhani Science of the Total Environment 593, 75-90, 2017 | 35 | 2017 |
| Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined … MA Baghapour, AF Nobandegani, N Talebbeydokhti, S Bagherzadeh, ... Journal of Environmental Health Science and Engineering 14 (1), 1-16, 2016 | 34 | 2016 |
| Artificial intelligence modeling to evaluate field performance of photocatalytic asphalt pavement for ambient air purification S Asadi, M Hassan, A Nadiri, H Dylla Environmental Science and Pollution Research 21 (14), 8847-8857, 2014 | 31 | 2014 |
| Mapping groundwater potential field using catastrophe fuzzy membership functions and Jenks optimization method: a case study of Maragheh-Bonab plain, Iran S Sadeghfam, Y Hassanzadeh, AA Nadiri, R Khatibi Environmental Earth Sciences 75 (7), 545, 2016 | 27 | 2016 |
| Sequential treatment of paper and pulp industrial wastewater: Prediction of water quality parameters by Mamdani Fuzzy Logic model and phytotoxicity assessment S Mazhar, A Ditta, L Bulgariu, I Ahmad, M Ahmed, AA Nadiri Chemosphere 227, 256-268, 2019 | 24 | 2019 |
| Modelling groundwater level variations by learning from multiple models using fuzzy logic AA Nadiri, K Naderi, R Khatibi, M Gharekhani Hydrological sciences journal 64 (2), 210-226, 2019 | 23 | 2019 |
| Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworks AA Nadiri, Z Sedghi, R Khatibi, S Sadeghfam Journal of environmental management 227, 415-428, 2018 | 23 | 2018 |
| Mapping aquifer vulnerability indices using artificial intelligence-running multiple frameworks (AIMF) with supervised and unsupervised learning AA Nadiri, M Gharekhani, R Khatibi Water Resources Management 32 (9), 3023-3040, 2018 | 23 | 2018 |
| Forecasting spatiotemporal water levels of Tabriz aquifer. VPS V. Nourani, A. Asgharimoghaddam, A.A. Nadiri Trends in Applied Sciences Research 3 (4), 319-329, 2008 | 23* | 2008 |
Asghar Asghari MoghaddamProfessor of Hydrogeology, Tabriz Universitytabrizu.ac.ir의 이메일 확인됨
