| Estimation of transverse mixing coefficient in streams using M5, MARS, GA, and PSO approaches J Zahiri, H Nezaratian Environmental Science and Pollution Research 27 (13), 14553-14566, 2020 | 15 | 2020 |
| Sensitivity analysis of empirical and data-driven models on longitudinal dispersion coefficient in streams H Nezaratian, J Zahiri, SM Kashefipour Environmental Processes 5 (4), 833-858, 2018 | 10 | 2018 |
| A genetic algorithm-based support vector machine to estimate the transverse mixing coefficient in streams H Nezaratian, J Zahiri, MF Peykani, AH Haghiabi, A Parsaie Water Quality Research Journal 56 (3), 127-142, 2021 | 9 | 2021 |
| Climate change impacts on the flow regime and water quality indicators using an artificial neural network (ANN): a case study in Saskatchewan, Canada A Hassanjabbar, H Nezaratian, P Wu Journal of Water and Climate Change 13 (8), 3046-3060, 2022 | 8 | 2022 |
| Estimation of maximum scour depth around bridge piers under ice-covered conditions using data-driven methods H Nezaratian, A Hassanjabbar, P Wu International Journal of Sediment Research 38 (2), 191-202, 2023 | 2 | 2023 |
| Investigation of Tree Models Performance for Estimation of Longitudinal Dispersion Coefficient in Straight River H Nezaratian, J Zahiri, SM Kashefipour Journal of Irrigation and Water Engineering 8 (1), 96-110, 2017 | | 2017 |
| A Comparison between M5 Algorithm and Genetic Programming to Estimate Longitudinal Dispersion Coefficient in Rivers H Nezaratian, J Zahiri 2nd Iranian National Congress of Irrigation & Drainage, 2016 | | 2016 |
Javad ZahiriAssociate professor, Agricultural Sciences and Natural Resources University of KhuzestanVerified email at asnrukh.ac.ir
