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Saeid Shabanlou
Saeid Shabanlou
Kermanshah Branch, Islamic Azad University
Verified email at iauksh.ac.ir
Title
Cited by
Cited by
Year
Simulation of groundwater level using MODFLOW, extreme learning machine and Wavelet-Extreme Learning Machine models
M Malekzadeh, S Kardar, S Shabanlou
Groundwater for Sustainable Development 9, 100279, 2019
812019
Combination of computational fluid dynamics, adaptive neuro-fuzzy inference system, and genetic algorithm for predicting discharge coefficient of rectangular side orifices
H Azimi, S Shabanlou, I Ebtehaj, H Bonakdari, S Kardar
Journal of Irrigation and Drainage Engineering 143 (7), 04017015, 2017
692017
A novel approach for prediction of monthly ground water level using a hybrid wavelet and non-tuned self-adaptive machine learning model
M Malekzadeh, S Kardar, K Saeb, S Shabanlou, L Taghavi
Water resources management 33, 1609-1628, 2019
532019
Free surface and velocity field in a circular channel along the side weir in supercritical flow conditions
H Azimi, S Shabanlou, MS Salimi
Flow Measurement and Instrumentation 38, 108-115, 2014
412014
A comparative study of artificial intelligence models and a statistical method for groundwater level prediction
M Poursaeid, AH Poursaeid, S Shabanlou
Water Resources Management 36 (5), 1499-1519, 2022
372022
A pareto design of evolutionary hybrid optimization of ANFIS model in prediction abutment scour depth
H Azimi, H Bonakdari, I Ebtehaj, S Shabanlou, SH Ashraf Talesh, ...
Sādhanā 44, 1-14, 2019
362019
A novel approach using CFD and neuro-fuzzy-firefly algorithm in predicting labyrinth weir discharge coefficient
S Shafiei, M Najarchi, S Shabanlou
Journal of the Brazilian Society of Mechanical Sciences and Engineering 42, 1-19, 2020
342020
The flow pattern in triangular channels along the side weir for subcritical flow regime
H Azimi, S Shabanlou
Flow Measurement and Instrumentation 46, 170-178, 2015
312015
Forecasting of groundwater level using ensemble hybrid wavelet–self-adaptive extreme learning machine-based models
F Yosefvand, S Shabanlou
Natural Resources Research 29 (5), 3215-3232, 2020
292020
Determining the scour dimensions around submerged vanes in a 180 bend with the gene expression programming technique
S Shabanlou, H Azimi, I Ebtehaj, H Bonakdari
Journal of Marine Science and Application 17, 233-240, 2018
292018
Modelling qualitative and quantitative parameters of groundwater using a new wavelet conjunction heuristic method: wavelet extreme learning machine versus wavelet neural networks
M Poursaeid, R Mastouri, S Shabanlou, M Najarchi
Water and Environment Journal 35 (1), 67-83, 2021
282021
Estimation of total dissolved solids, electrical conductivity, salinity and groundwater levels using novel learning machines
M Poursaeid, R Mastouri, S Shabanlou, M Najarchi
Environmental Earth Sciences 79, 1-25, 2020
272020
Simulation of time-series groundwater parameters using a hybrid metaheuristic neuro-fuzzy model
A Azizpour, MA Izadbakhsh, S Shabanlou, F Yosefvand, A Rajabi
Environmental Science and Pollution Research, 1-17, 2022
242022
Multi-objective optimization of quantitative-qualitative operation of water resources systems with approach of supplying environmental demands of Shadegan Wetland
Z Goorani, S Shabanlou
Journal of Environmental Management 292, 112769, 2021
222021
Modeling long-term rainfall-runoff time series through wavelet-weighted regularization extreme learning machine
A Alizadeh, A Rajabi, S Shabanlou, B Yaghoubi, F Yosefvand
Earth Science Informatics 14, 1047-1063, 2021
212021
Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS
KS Mohammed, S Shabanlou, A Rajabi, F Yosefvand, MA Izadbakhsh
Applied Water Science 13 (2), 54, 2023
202023
Estimation of water level fluctuations in groundwater through a hybrid learning machine
A Azizpour, MA Izadbakhsh, S Shabanlou, F Yosefvand, A Rajabi
Groundwater for Sustainable Development 15, 100687, 2021
202021
Discharge coefficient of rectangular side weirs on circular channels
H Azimi, S Shabanlou, I Ebtehaj, H Bonakdari
International Journal of Nonlinear Sciences and Numerical Simulation 17 (7-8 …, 2016
202016
Climate index changes in future by using SDSM in Kermanshah, Iran.
A Rajabi, S Shabanlou
202012
Simulation of discharge coefficient of side weirs placed on convergent canals using modern self-adaptive extreme learning machine
R Gharib, M Heydari, S Kardar, S Shabanlou
Applied water science 10, 1-11, 2020
172020
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