| 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 | 421 | 2009 |
| Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model R Barzegar, MT Aalami, J Adamowski Stochastic Environmental Research and Risk Assessment 34 (2), 415-433, 2020 | 309 | 2020 |
| 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 | 168 | 2015 |
| 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 |
| Evaluation of total load sediment transport formulas using ANN CT Yang, R Marsooli, MT Aalami International Journal of Sediment Research 24 (3), 274-286, 2009 | 125 | 2009 |
| Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq K Khosravi, P Daggupati, MT Alami, SM Awadh, MI Ghareb, M Panahi, ... Computers and Electronics in Agriculture 167, 105041, 2019 | 124 | 2019 |
| Coupling a hybrid CNN-LSTM deep learning model with a boundary corrected maximal overlap discrete wavelet transform for multiscale lake water level forecasting R Barzegar, MT Aalami, J Adamowski Journal of Hydrology 598, 126196, 2021 | 116 | 2021 |
| Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen … B Raheli, MT Aalami, A El-Shafie, MA Ghorbani, RC Deo Environmental Earth Sciences 76, 1-16, 2017 | 114 | 2017 |
| Trend analysis of groundwater using non-parametric methods (case study: Ardabil plain) F Daneshvar Vousoughi, Y Dinpashoh, MT Aalami, D Jhajharia Stochastic environmental research and risk assessment 27, 547-559, 2013 | 110 | 2013 |
| Spatiotemporal groundwater level forecasting in coastal aquifers by hybrid artificial neural network-geostatistics model: a case study V Nourani, RG Ejlali, MT Alami Environmental Engineering Science 28 (3), 217-228, 2011 | 104 | 2011 |
| Determining discharge coefficient of labyrinth and arced labyrinth weirs using support vector machine K Roushangar, MT Alami, J Shiri, MM Asl Hydrology research 49 (3), 924-938, 2018 | 78 | 2018 |
| Hybrid of SOM-clustering method and wavelet-ANFIS approach to model and infill missing groundwater level data V Nourani, MT Alami, FD Vousoughi Journal of Hydrologic Engineering 21 (9), 05016018, 2016 | 41 | 2016 |
| Dynamics of hourly sea level at Hillarys Boat Harbour, Western Australia: a chaos theory perspective R Khatibi, MA Ghorbani, MT Aalami, K Kocak, O Makarynskyy, ... Ocean Dynamics 61, 1797-1807, 2011 | 39 | 2011 |
| An investigation on changes and prediction of Urmia Lake water surface evaporation by chaos theory S Farzin, P Ifaei, N Farzin, Y Hassanzadeh, MT Aalami INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER) 6 (3), 815-824, 2012 | 34 | 2012 |
| An investigation on changes and prediction of Urmia Lake water surface evaporation by chaos theory S Farzin, P Ifaei, N Farzin, Y Hassanzadeh, MT Aalami INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER) 6 (3), 815-824, 2012 | 34 | 2012 |
| Stochastic modeling of groundwater fluoride contamination: Introducing lazy learners K Khosravi, R Barzegar, S Miraki, J Adamowski, P Daggupati, ... Groundwater 58 (5), 723-734, 2020 | 33 | 2020 |
| Predictability of relative humidity by two artificial intelligence techniques using noisy data from two Californian gauging stations R Khatibi, L Naghipour, MA Ghorbani, MT Aalami Neural Computing and Applications 23, 2241-2252, 2013 | 33 | 2013 |
| Study of a compressed air vessel for controlling the pressure surge in water networks: CFD and experimental analysis M Besharat, R Tarinejad, MT Aalami, HM Ramos Water resources management 30, 2687-2702, 2016 | 32 | 2016 |
| Modeling discharge coefficient of normal and inverted orientation labyrinth weirs using machine learning techniques K Roushangar, MT Alami, M Majedi Asl, J Shiri ISH Journal of Hydraulic Engineering 23 (3), 331-340, 2017 | 30 | 2017 |
| Self-organizing map clustering technique for ANN-based spatiotemporal modeling of groundwater quality parameters V Nourani, MT Alami, FD Vousoughi Journal of Hydroinformatics 18 (2), 288-309, 2016 | 30 | 2016 |
