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yaser mehri
yaser mehri
University of Tehran, Hydraulic structures engineering
Verified email at ut.ac.ir
Title
Cited by
Cited by
Year
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
282019
Predicting submerged hydraulic jump characteristics using machine learning methods
M Nasrabadi, Y Mehri, A Ghassemi, MH Omid
Water Supply 21 (8), 4180-4194, 2021
202021
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
152021
Prediction of suspended sediment distributions using data mining algorithms
Y Mehri, M Nasrabadi, MH Omid
Ain Shams Engineering Journal 12 (4), 3439-3450, 2021
92021
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
92018
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
82018
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
72020
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
42020
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
32020
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
12018
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
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