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Sami Ghordoyee Milan
Sami Ghordoyee Milan
Otros nombresSami Milan, سامی میلان
Research Assistant, Department of Water Engineering, University of Tehran
Dirección de correo verificada de ut.ac.ir
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Citado por
Citado por
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Fuzzy optimization model and fuzzy inference system for conjunctive use of surface and groundwater resources
SG Milan, A Roozbahani, ME Banihabib
Journal of hydrology 566, 421-434, 2018
852018
Development of adaptive neuro fuzzy inference system–Evolutionary algorithms hybrid models (ANFIS-EA) for prediction of optimal groundwater exploitation
SG Milan, A Roozbahani, NA Azar, S Javadi
Journal of hydrology 598, 126258, 2021
662021
A new hybrid framework of site selection for groundwater recharge
S Javadi, M Saatsaz, SMH Shahdany, A Neshat, SG Milan, S Akbari
Geoscience Frontiers 12 (4), 101144, 2021
472021
The prediction of longitudinal dispersion coefficient in natural streams using LS-SVM and ANFIS optimized by Harris hawk optimization algorithm
NA Azar, SG Milan, Z Kayhomayoon
Journal of Contaminant Hydrology 240, 103781, 2021
392021
Novel approach for predicting groundwater storage loss using machine learning
Z Kayhomayoon, NA Azar, SG Milan, HK Moghaddam, R Berndtsson
Journal of Environmental Management 296, 113237, 2021
302021
The prediction of aquifer groundwater level based on spatial clustering approach using machine learning
HK Moghaddam, SG Milan, Z Kayhomayoon, NA Azar
Environ Monit Assess 193 (4), 1-20, 2021
292021
Developing the artificial neural network–evolutionary algorithms hybrid models (ANN–EA) to predict the daily evaporation from dam reservoirs
N Arya Azar, N Kardan, S Ghordoyee Milan
Engineering with Computers 39 (2), 1375-1393, 2023
242023
A combination of metaheuristic optimization algorithms and machine learning methods improves the prediction of groundwater level
Z Kayhomayoon, F Babaeian, S Ghordoyee Milan, N Arya Azar, ...
Water 14 (5), 751, 2022
222022
A new approach for regional groundwater level simulation: clustering, simulation, and optimization
Z Kayhomayoon, S Ghordoyee Milan, N Arya Azar, ...
Natural Resources Research 30, 4165-4185, 2021
202021
The prediction of aquifer groundwater level based on spatial clustering approach using machine learning
H Kardan Moghaddam, S Ghordoyee Milan, Z Kayhomayoon, ...
Environmental Monitoring and Assessment 193 (4), 173, 2021
152021
Hybridized adaptive neuro-fuzzy inference system with metaheuristic algorithms for modeling monthly pan evaporation
RM Adnan Ikram, A Jaafari, SG Milan, O Kisi, S Heddam, ...
Water 14 (21), 3549, 2022
132022
Predicting monthly evaporation from dam reservoirs using LS-SVR and ANFIS optimized by Harris hawks optimization algorithm
N Arya Azar, S Ghordoyee Milan, Z Kayhomayoon
Environmental Monitoring and Assessment 193, 1-14, 2021
132021
How does a combination of numerical modeling, clustering, artificial intelligence, and evolutionary algorithms perform to predict regional groundwater levels?
Z Kayhomayoon, S Ghordoyee-Milan, A Jaafari, N Arya-Azar, AM Melesse, ...
Computers and Electronics in Agriculture 203, 107482, 2022
112022
Prediction of evaporation from dam reservoirs under climate change using soft computing techniques
Z Kayhomayoon, F Naghizadeh, M Malekpoor, N Arya Azar, J Ball, ...
Environmental Science and Pollution Research 30 (10), 27912-27935, 2023
82023
A hybrid approach based on simulation, optimization, and estimation of conjunctive use of surface water and groundwater resources
N Arya Azar, Z Kayhomayoon, S Ghordoyee Milan, HR Zarif Sanayei, ...
Environmental Science and Pollution Research 29 (37), 56828-56844, 2022
72022
Simulation of groundwater Level using LS-SVM and comparison with ANN & MLR
S Ghordoyee Milan, N Aryaazar, S Javadi
Iranian hydrogeology 5 (1), 118-133, 2020
7*2020
A simulation-optimization modeling approach for conjunctive water use management in a semi-arid region of Iran
Z Kayhomayoon, SG Milan, N Arya Azar, P Bettinger, F Babaian, A Jaafari
Sustainability 14 (5), 2691, 2022
62022
Assessing Climate Change Impact on Water Balance Components Using Integrated Groundwater–Surface Water Models (Case Study: Shazand Plain, Iran)
F Soltani, S Javadi, A Roozbahani, AR Massah Bavani, G Golmohammadi, ...
Water 15 (4), 813, 2023
52023
Using machine learning to determine acceptable levels of groundwater consumption in Iran
SG Milan, Z Kayhomayoon, NA Azar, R Berndtsson, MR Ramezani, ...
Sustainable Production and Consumption 35, 388-400, 2023
52023
Soft computing assessment of current and future groundwater resources under CMIP6 scenarios in northwestern Iran
Z Kayhomayoon, MR Jamnani, S Rashidi, SG Milan, NA Azar, ...
Agricultural Water Management 285, 108369, 2023
42023
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