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 | 251 | 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 | 203 | 2013 |
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 | 162 | 2018 |
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 |
Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined … MA Baghapour, A Fadaei Nobandegani, N Talebbeydokhti, ... Journal of Environmental Health Science and Engineering 14, 1-16, 2016 | 117 | 2016 |
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 | 101 | 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 | 97 | 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 | 95 | 2015 |
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 |
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 | 84 | 2019 |
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 | 81 | 2017 |
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 | 78 | 2018 |
Bayesian Artificial Intelligence Model Averaging for Hydraulic Conductivity Estimation A Nadiri, A., Chitsazan, N., Tsai, F., and Moghaddam J. Hydrol. Eng.,, 2013 | 78* | 2013 |
Hydrogeochemical Analysis for Tasuj Plain Aquifer, Iran AA Nadiri, AA Moghaddam, TCT Frank, E Fijani | 78 | 2013 |
Supervised intelligent committee machine method for hydraulic conductivity estimation G Tayfur, AA Nadiri, AA Moghaddam Water resources management 28, 1173-1184, 2014 | 76 | 2014 |
Localization of groundwater vulnerability assessment using catastrophe theory S Sadeghfam, Y Hassanzadeh, AA Nadiri, M Zarghami Water resources management 30, 4585-4601, 2016 | 69 | 2016 |
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, 1-19, 2016 | 60 | 2016 |
Groundwater DRASTIC vulnerability mapping by unsupervised and supervised techniques using a modelling strategy in two levels AA Nadiri, H Norouzi, R Khatibi, M Gharekhani Journal of Hydrology 574, 744-759, 2019 | 59 | 2019 |
GIS and geostatistical techniques for groundwater science S Venkatramanan, PM Viswanathan, SY Chung Elsevier, 2019 | 54 | 2019 |
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, 8847-8857, 2014 | 54 | 2014 |