| A hybrid of Random Forest and Deep Auto-Encoder with support vector regression methods for accuracy improvement and uncertainty reduction of long-term streamflow prediction M Abbasi, A Farokhnia, M Bahreinimotlagh, R Roozbahani Journal of Hydrology 597, 125717, 2021 | 61 | 2021 |
| Long-Term Streamflow Prediction Using Hybrid SVR-ANN Based on Bayesian Model Averaging M Abbasi, H Dehban, A Farokhnia, R Roozbahani, M Bahreinimotlagh Journal of Hydrologic Engineering 27 (11), 05022018, 2022 | 8 | 2022 |
| Influence of Suspended Sediment Concentration and Particle Sizes on the Sound Attenuation of the Fluvial Acoustic Tomography Technique M Bahreinimotlagh, K Kawanisi, A Kavousi, R Roozbahani, M Abbasi, ... Journal of Water and Environment Technology 18 (5), 338-348, 2020 | 5 | 2020 |
| Feasibility study of Fluvial Acoustic Tomography System for flood monitoring and determination of the measurement accuracy, minimum and maximum measurement ranges M Bahreinimotlagh, R Roozbahani, M Eftekhari, H Kardanmoghadam, ... Iranian journal of Ecohydrology 6 (3), 585-592, 2019 | 5 | 2019 |
| Evaluation of Moving Average Pre-processing Approach to Improve the Efficiency of Support Vector Regression Model for Inflow Prediction KE Mahdi Abbasi, Shahab Araghinejad Iranian Journal of Soil and Water Research 50 (1), 247-258, 2019 | 5 | 2019 |
| Investigation of the Effect of ENSO Hot Phase on the Instantaneous Floods in Two Climates of IRAN M Abbasi, S Araghinejad, K Ebrahimi Iranian Journal of Soil and Water Research 49 (6), 1433-1442, 2019 | 2 | 2019 |
| Developing a random forest model to quantify streamflow intermittency in Pan-Europe at a spatial resolution of 15 arc-sec M Abbasi, T Trautmann, P Döll EGU General Assembly Conference Abstracts, EGU-4440, 2023 | | 2023 |
| Report on continental-scale high-resolution modeling of streamflow intermittence P Döll, M Abbasi, T Trautmann | | 2023 |
Masoud BahreinimotlaghAssistant Professor, Water Research Institute, Tehran, IranVerified email at wri.ac.ir
