Kiyoumars Roushangar,
Cited by
Cited by
Modeling energy dissipation over stepped spillways using machine learning approaches
K Roushangar, S Akhgar, F Salmasi, J Shiri
Journal of Hydrology 508, 254-265, 2014
Modeling river total bed material load discharge using artificial intelligence approaches (based on conceptual inputs)
K Roushangar, FV Mehrabani, J Shiri
Journal of hydrology 514, 114-122, 2014
Evaluation of a two-stage SVM and spatial statistics methods for modeling monthly river suspended sediment load
V Nourani, F Alizadeh, K Roushangar
Water Resources Management 30 (1), 393-407, 2016
Comparison of machine learning models for predicting fluoride contamination in groundwater
EF Rahim Barzegar, Asghar Asghari Moghaddam, Jan Adamowski
Stochastic Environmental Research and Risk Assessment 31 (10), 2705-2718, 2017
Evaluation of GA-SVR method for modeling bed load transport in gravel-bed rivers
K Roushangar, A Koosheh
Journal of Hydrology 527, 1142-1152, 2015
Determining discharge coefficient of labyrinth and arced labyrinth weirs using support vector machine
K Roushangar, MT Alami, J Shiri, MM Asl
Hydrology Research 49 (3), 924-938, 2018
Evaluation of genetic programming-based models for simulating friction factor in alluvial channels
K Roushangar, D Mouaze, J Shiri
Journal of Hydrology 517, 1154-1161, 2014
Prediction of non-cohesive sediment transport in circular channels in deposition and limit of deposition states using SVM
K Roushangar, R Ghasempour
Water Science and Technology: Water Supply 17 (2), 537-551, 2017
Forecasting Daily Seepage Discharge of an Earth Dam Using Wavelet–Mutual Information–Gaussian Process Regression Approaches
K Roushangar, S Garekhani, F Alizadeh
Geotechnical and Geological Engineering 34 (5), 1313–1326, 2016
Exploring the effects of climatic variables on monthly precipitation variation using a continuous wavelet-based multiscale entropy approach
K Roushangar, F Alizadeh, J Adamowski
Environmental research 165, 176-192, 2018
A multiscale time-space approach to analyze and categorize the precipitation fluctuation based on the wavelet transform and information theory concept
K Roushangar, V Nourani, F Alizadeh
Hydrology Research 49 (3), 724-743, 2018
Estimating discharge coefficient of stepped spillways under nappe and skimming flow regime using data driven approaches
K Roushangar, S Akhgar, F Salmasi
Flow Measurement and Instrumentation 59, 79-87, 2018
Modeling discharge coefficient of normal and inverted orientation labyrinth weirs using machine learning techniques
K Roushangar, MT Alami, M Majedi Asl, J Shiri
ISH Journal of Hydraulic Engineering 23 (3), 331-340, 2017
Entropy-based analysis and regionalization of annual precipitation variation in Iran during 1960–2010 using ensemble empirical mode decomposition
K Roushangar, F Alizadeh
Journal of Hydroinformatics 20 (2), 468-485, 2018
Improving capability of conceptual modeling of watershed rainfall–runoff using hybrid wavelet-extreme learning machine approach
K Roushangar, F Alizadeh, V Nourani
Journal of Hydroinformatics 20 (1), 69-87, 2018
Estimation of bedload discharge in sewer pipes with different boundary conditions using an evolutionary algorithm
K Roushangar, R Ghasempour
International Journal of Sediment Research 32 (4), 564-574, 2017
Evaluation of the impact of channel geometry and rough elements arrangement in hydraulic jump energy dissipation via SVM
K Roushangar, R Ghasempour
Journal of Hydroinformatics 21 (1), 92-103, 2019
Prediction of sediment transport rates in gravel-bed rivers using Gaussian process regression
K Roushangar, S Shahnazi
Journal of Hydroinformatics 22 (2), 249-262, 2020
Predicting characteristics of dune bedforms using PSO-LSSVM
K Roushangar, SM Saghebian, D Mouaze
International Journal of Sediment Research 32 (4), 515-526, 2017
Neural networks-and neuro-fuzzy-based determination of influential parameters on energy dissipation over stepped spillways under nappe flow regime
K Roushangar, S Akhgar, F Salmasi, J Shiri
ISH Journal of Hydraulic Engineering 23 (1), 57-62, 2017
The system can't perform the operation now. Try again later.
Articles 1–20