| Predicting the coefficient of discharge for piano key side weirs using GMDH and DGMDH techniques Y Mehri, J Soltani, M Khashehchi Flow Measurement and Instrumentation 65, 1-6, 2019 | 28 | 2019 |
| Predicting submerged hydraulic jump characteristics using machine learning methods M Nasrabadi, Y Mehri, A Ghassemi, MH Omid Water Supply 21 (8), 4180-4194, 2021 | 20 | 2021 |
| Interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques M Zeinali, S Zamanzad-Ghavidel, Y Mehri, HM Azamathulla Water Supply 21 (1), 470-491, 2021 | 15 | 2021 |
| Prediction of suspended sediment distributions using data mining algorithms Y Mehri, M Nasrabadi, MH Omid Ain Shams Engineering Journal 12 (4), 3439-3450, 2021 | 9 | 2021 |
| Discharge coefficient of a C-type piano key side weir at 30 and 120 sections of a curved channel Y Mehri, J Soltani, M Saneie, M Rostami Civil Engineering Journal 4 (7), 1702-1713, 2018 | 9 | 2018 |
| Evaluation of SVM and nonlinear regression models for predicting the discharge coefficient of side piano key weirs in irrigation and drainage networks Y Mehri, S Esmaeili, J Soltani, M Saneie, M Rostami Iranian Journal of Irrigation & Drainage 12 (4), 994-1003, 2018 | 8 | 2018 |
| Experimental study and performance comparison on various types of rectangular piano key side weirs at a 120 section of a 180 curved channel Y Mehri, S Esmaeili, J Soltani Applied Water Science 10, 1-13, 2020 | 7 | 2020 |
| Estimating the discharge coefficient of the type B piano-key side weir at a 120 curve using RBF and ANFIS models in comparison with artificial neural networks Y Mehri, N Abbasi Irrigation Sciences and Engineering 43 (1), 89-100, 2020 | 4 | 2020 |
| Evaluation of combined Models with Optimization Approach of PSO and GA in ANFIS for Predicting of Dispersion Coefficient in Rivers Y Mehri, M Mehri, J Soltani Water and Irrigation Management 10 (1), 45-59, 2020 | 3 | 2020 |
| An Assessment of Using Intelligence Fuzzy Models to Tstimate the Sequent Depth and Roller length of B-type Hydraulic Jump Y Mehri, N Abbasi Irrigation Sciences and Engineering 40 (4), 213-225, 2018 | 1 | 2018 |
| Experimental study of flow resistance in the presence of rigid vegetation and its prediction with intelligent models Y Mehri, MH Omid, S Kouchakzadeh, M Nasrabadi Iranian Journal of Soil and Water Research, 2024 | | 2024 |
| Evaluation of the combination of optimization algorithms and adaptive fuzzy-neural inference system compared to time series models in groundwater level estimation M Zeinalie, M Ansari Ghojghar, Y Mehri, SM Hosseini Iran-Water Resources Research 16 (3), 245-256, 2020 | | 2020 |
| Evaluation and comparison of flow hydraulic in side piano key weirs of type B, type C and sharp crest side weir in acurved channel Y Mehri, J Soltani, M Saneie, M Rostami Watershed Engineering and Management 10 (4), 608-617, 2018 | | 2018 |
| Discharge Coefficient of Type-C Piano Key Side Weir in 30-Degree Sector of a Channel Having Longitudinal Curvature Y Mehri, J Soltani, M Saneie, M Rostami Irrigation and Drainage Structures Engineering Research 19 (72), 133-148, 2018 | | 2018 |
| Prediction of Board Crested Weir and Sharp Crested Weir Discharge Coefficient by Fuzzy Inference System and Neural Fuzzy Inference System Y Mehri, N Abbasi, H Arvanaghi Iran-Water Resources Research 13 (3), 168-174, 2017 | | 2017 |
| Investigation of effect of exit flow gradient on piping phenomenon in coastal slopes under fluctuations of water level with presence of cutoff wall G Mahtabi, Y Mehri Irrigation and Drainage Structures Engineering Research 17 (67), 17-32, 2017 | | 2017 |
| PREDICTION OF DISCHARGE COEFFICIENT FOR BROAD AND SHARP CRESTED WEIRS BY FUZZY INFERENCE SYSTEM AND NEURAL FUZZY INFERENCE SYSTEM Y MEHRI, N ABBASI, H ARVANAGHI IRAN-WATER RESOURCES RESEARCH 13 (3), 167-174, 2017 | | 2017 |
Jaber SoltaniAssociate Professor, Department of Water Engineering, University of TehranAdresă de e-mail confirmată pe ut.ac.ir
