Farzin Salmasi

Modeling energy dissipation over stepped spillways using machine learning approaches

Kiyoumars Roushangar, Samira Akhgar, Farzin Salmasi et al. · Journal of Hydrology · 2013 · 79 citations

Engineering, Computational Engineering, Computer Science +15

Application of Gaussian Process Regression Model to Predict Discharge Coefficient of Gated Piano Key Weir

Masood Akbari, Farzin Salmasi, Hadi Arvanaghi et al. · Water Resources Management · 2019 · 70 citations

Engineering, Musicology, Hydraulics +8

Application of SVM, ANN, GRNN, RF, GP and RT models for predicting discharge coefficients of oblique sluice gates using experimental data

Farzin Salmasi, Meysam Nouri, Parveen Sihag et al. · Water Science & Technology Water Supply · 2020 · 70 citations · Full text

Engineering, Agricultural Engineering, Water Resources Management +14

Effect of Location and Angle of Cutoff Wall on Uplift Pressure in Diversion Dam

Behnam Mansuri, Farzin Salmasi, Behrooz Oghati · Geotechnical and Geological Engineering · 2014 · 65 citations · Full text

Engineering, Civil Engineering, Foundation Engineering +13

Predicting discharge coefficient of compound broad-crested weir by using genetic programming (GP) and artificial neural network (ANN) techniques

Farzin Salmasi, Gürol Yıldırım, Azam Masoodi et al. · Arabian Journal of Geosciences · 2012 · 52 citations

Engineering, Civil Engineering, Water Resources Management +16