Meysam Nouri

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

Upstream Cutoff and Downstream Filters to Control of Seepage in Dams

Farzin Salmasi, Meysam Nouri, John Abraham · Water Resources Management · 2020 · 29 citations

Engineering, Civil Engineering, Hydraulics +11

Prediction of the Discharge Coefficient in Compound Broad-Crested-Weir Gate by Supervised Data Mining Techniques

Meysam Nouri, Parveen Sihag, Özgür Kişi et al. · Sustainability · 2022 · 19 citations · Full text

Engineering, Computational Engineering, Water Resources Management +16

Energy Loss in Skimming Flow over Cascade Spillways: Comparison of Artificial Intelligence-Based and Regression Methods

Meysam Nouri, Parveen Sihag, Farzin Salmasi et al. · Applied Sciences · 2020 · 18 citations · Full text

Engineering, Computational Engineering, Petroleum Engineering +13

Prediction of Homogeneous Earthen Slope Safety Factors Using the Forest and Tree Based Modelling

Meysam Nouri, Parveen Sihag, Farzin Salmasi et al. · Geotechnical and Geological Engineering · 2021 · 18 citations

Engineering, Earth Sciences, Geological Engineering +12