Ensemble machine learning paradigms in hydrology: A review M Zounemat-Kermani, O Batelaan, M Fadaee, R Hinkelmann Journal of Hydrology 598, 126266, 2021 | 398 | 2021 |
Suspended sediment prediction using integrative soft computing models: on the analogy between the butterfly optimization and genetic algorithms M Fadaee, A Mahdavi-Meymand, M Zounemat-Kermani Geocarto International 37 (4), 961-977, 2022 | 38 | 2022 |
Online sequential extreme learning machine in river water quality (turbidity) prediction: a comparative study on different data mining approaches M Zounemat‐Kermani, M Alizamir, M Fadaee, A Sankaran Namboothiri, ... Water and Environment Journal 35 (1), 335-348, 2021 | 28 | 2021 |
Seasonal short‐term prediction of dissolved oxygen in rivers via nature‐inspired algorithms M Fadaee, A Mahdavi‐Meymand, M Zounemat‐Kermani CLEAN–Soil, Air, Water 48 (2), 1900300, 2020 | 19 | 2020 |
Groundwater quality modeling: On the analogy between integrative PSO and MRFO mathematical and machine learning models M Zounemat‐Kermani, A Mahdavi‐Meymand, M Fadaee, O Batelaan, ... Environmental Quality Management 31 (3), 241-251, 2022 | 10 | 2022 |
Predicting Sediment transport in sewers using integrative harmony search-ANN model and factor analysis M Zounemat-Kermani, M Fadaee, S Adarsh, R Hinkelmann IOP Conference Series: Earth and Environmental Science 491 (1), 012004, 2020 | 6 | 2020 |
Soil moisture simulation using individual versus ensemble soft computing models M Zounemat-Kermani, S Golestani Kermani, M Alizamir, M Fadaee International Journal of Environmental Science and Technology 19 (10), 10089 …, 2022 | 5 | 2022 |
Experimental study and numerical simulation of dam reservoir sediment release M Fadaee, M Zounemat-Kermani Water SA 46 (4), 656-664, 2020 | 3 | 2020 |
Modeling river water dissolved organic matter using ensemble computing and genetic programming techniques M Zounemat-Kermani, SG Kermani, M Fadaee, A Aldallal, O Kisi, ... Ecohydrology & Hydrobiology, 2024 | | 2024 |