S. Khodashenas

发表

A geometrical method for computing the distribution of boundary shear stress across irregular straight open channels

A. Paquier, S. Khodashenas, 1999 .

Comparison of ANN and ARIMA techniques for forecasting Kardeh river flow

S. Khodashenas, M. Sabouni, F. Rastegaripour, 2014 .

Daily Rainfall Forecasting for Mashhad Synoptic Station using Artificial Neural Networks

Kamran Davary, Saeed Reza Khodashenas, Fatemeh Karimaldini, 2011, ICECS 2011.

A methodological approach of predicting threshold channel bank profile by multi-objective evolutionary optimization of ANFIS

Bahram Gharabaghi, Ali Jamali, Hossein Bonakdari, 2018 .

Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods

Ali Jamali, Hossein Bonakdari, Isa Ebtehaj, 2019, Applied Water Science.

Study on Influence Increase Effective Length on the Hydraulic Characteristic and Discharge Coefficient in Side Weirs

S. Khodashenas, M. Akbarzadeh, H. Z. Khameneh, 2015 .

The effect of increasing the number of cycles on the performance of labyrinth side weir

S. Khodashenas, H. Z. Khameneh, K. Esmaili, 2014 .

River bed deformation calculated from boundary shear stress

A. Paquier, S. Khodashenas, 2002 .

Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficient

Shahaboddin Shamshirband, Amir Hossein Zaji, Hossein Bonakdari, 2016, Appl. Math. Comput..

The effect of fluctuations in moisture on resistance to soil erosion in the process of dust production (Case study of Lake Bazangan , Iran)

S. Khodashenas, K. Esmaili, Mahya Hassanzadeh Eskafi, 2021 .

Comparison between the circular and square collar in reduction of local scouring around bridge piers

S. Khodashenas, H. Shariati, K. Esmaeeli, 2018 .

EFFECT OF COLLAR- SLOT COMBINATION ON THE LOCAL SCOURING AROUND THE BRIDGE PIERS

S. Khodashenas, K. Esmaili, H. Shariati, 2012 .

Monthly Precipitation Prediction by Artificial Neural Networks (Case study: Mashhad synoptic station)

S. Khodashenas, N. Khalili, K. Davari, 2010 .

INVESTIGATING THE HYDRAULIC PROPERTIES AND DESIGN CRITERIA FOR THE RIVER SUBSURFACE INTAKE WITH A POROUS MEDIA WITHOUT CUT OFF

A. Ziaei, S. Khodashenas, R. Mansouri, 2013 .

Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on digital laser approach sensing

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Measurement.

Prediction of groundwater level fluctuations under climate change based on machine learning algorithms in the Mashhad aquifer, Iran

A. Rohani, A. Faridhosseini, S. Khodashenas, 2023, Journal of Water and Climate Change.

Estimation of nonlinear parameters of the type 5 Muskingum model using SOS algorithm

Saeed Reza Khodashenas, Kazem Esmaili, Saeid Khalifeh, 2020, MethodsX.

Prediction of rainfall using artificial neural networks for synoptic station of Mashhad: a case study

Kamran Davary, Saeed Reza Khodashenas, Mohammad Mousavi Baygi, 2016, Arabian Journal of Geosciences.

Boundary shear stress in open channel flow: A comparison among six methods

A. Paquier, S. Khodashenas, K. E. K. Abderrezzak, 2008 .

Experimental Study of Pressure Fluctuation in Stilling Basins

Hamed Sarkardeh, Saeed Reza Khodashenas, Fatemeh Kazemi, 2016 .

Vortex study at orifice spillways of Karun 3 Dam

H. Sarkardeh, S. Khodashenas, R. Roshan, 2010 .

REVISION OF SURFACE- RUNOFF DRAINAGE SYSTEM BY SIMULATION AND APPLICATION OF RETENTION BASINS) CASE STUDY: EAST EGHBAL CATCHMENT, MASHHAD)

M. Tajbakhsh, S. Khodashenas, 2012 .

New Model for Simulating Hydraulic Performance of an Infiltration Trench with Finite-Volume One-Dimensional Richards’ Equation

A. Alizadeh, A. Ziaei, S. Khodashenas, 2017 .

Reliability and sensitivity analysis of robust learning machine in prediction of bank profile morphology of threshold sand rivers

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2020 .

Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Neural Computing and Applications.

Predicting the velocity field in a 90° Open channel bend using a gene expression programming model

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2015 .

Application of optimized Artificial and Radial Basis neural networks by using modified Genetic Algorithm on discharge coefficient prediction of modified labyrinth side weir with two and four cycles

Amir Hossein Zaji, Hossein Bonakdari, Saeed Reza Khodashenas, 2020 .

Data on optimization of the non-linear Muskingum flood routing in Kardeh River using Goa algorithm

S. Khodashenas, K. Esmaili, Saeid Akbarifard, 2020, Data in brief.

Investigation of control methods on local scouring around the bridge piers

S. Khodashenas, H. Shariati, 2015 .

Fuzzy Risk Assessment of a Stormwater Storage System in a Poorly Gauged Mine Site: The Case of the Golgohar Mine Site

S. Khodashenas, Siamak Rezazadeh Baghal, 2022, Mine Water and the Environment.

Fuzzy Number Linear Programming Technique for Design of Rectangular Canals

S. Khodashenas, Siamak Rezazadeh Baghal, 2022, Journal of Irrigation and Drainage Engineering.

Risk Assessment of Storm Sewers in Urban Areas Using Fuzzy Technique and Monte Carlo Simulation

S. Khodashenas, Siamak Rezazadeh Baghal, 2022, Journal of Irrigation and Drainage Engineering.

Storage dam’s locality placing by MCDM techniques (case study: three dams in Iran)

Saeed Reza Khodashenas, Niloufar Yarahmadi, S. Khodashenas, 2016, Arabian Journal of Geosciences.

Comparison between 5 methods to calculate boundary shear stress distribution in open channel

S. Khodashenas, 2007 .

Experimental Study of Pressure Fluctuation in Stilling Basins

F. Kazemi, H. Sarkardeh, S. Khodashenas, 2016, International Journal of Civil Engineering.