Follow
Mahdi Valikhan Anaraki
Mahdi Valikhan Anaraki
Ph.D. Water Resources Engineering and Management, Civil Engineering , Semnan University
Verified email at semnan.ac.ir - Homepage
Title
Cited by
Cited by
Year
Flow direction algorithm (FDA): a novel optimization approach for solving optimization problems
H Karami, MV Anaraki, S Farzin, S Mirjalili
Computers & Industrial Engineering 156, 107224, 2021
1592021
Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods
M Valikhan Anaraki, S Farzin, SF Mousavi, H Karami
Water Resources Management 35 (1), 199-223, 2021
932021
A new methodology for reference evapotranspiration prediction and uncertainty analysis under climate change conditions based on machine learning, multi criteria decision making …
M Kadkhodazadeh, M Valikhan Anaraki, A Morshed-Bozorgdel, S Farzin
Sustainability 14 (5), 2601, 2022
502022
Introducing a framework for modeling of drug electrochemical removal from wastewater based on data mining algorithms, scatter interpolation method, and multi criteria decision …
S Farzin, FN Chianeh, MV Anaraki, F Mahmoudian
Journal of Cleaner Production 266, 122075, 2020
492020
Modeling and predicting suspended sediment load under climate change conditions: a new hybridization strategy
S Farzin, M Valikhan Anaraki
Journal of Water and Climate Change 12 (6), 2422-2443, 2021
322021
Optimal construction of an open channel by considering different conditions and uncertainty: application of evolutionary methods
S Farzin, M Valikhan Anaraki
Engineering Optimization 53 (7), 1173-1191, 2021
282021
Development of a novel hybrid optimization algorithm for minimizing irrigation deficiencies
M Valikhan-Anaraki, SF Mousavi, S Farzin, H Karami, M Ehteram, O Kisi, ...
Sustainability 11 (8), 2337, 2019
282019
Dye Pollutant Removal from Synthetic Wastewater: A New Modeling and Predicting Approach Based on Experimental Data Analysis, Kriging Interpolation Method, and Computational …
M Valikhan Anaraki, F Mahmoudian, F Nabizadeh Chianeh, S Farzin
Journal of Environmental Informatics 40 (2), 2022
252022
Prediction of groundwater table and drought analysis; a new hybridization strategy based on bi-directional long short-term model and the Harris hawk optimization algorithm
S Farzin, MV Anaraki, M Naeimi, S Zandifar
Journal of Water and Climate Change 13 (5), 2233-2254, 2022
202022
A novel framework based on the stacking ensemble machine learning (SEML) method: application in wind speed modeling
A Morshed-Bozorgdel, M Kadkhodazadeh, M Valikhan Anaraki, S Farzin
Atmosphere 13 (5), 758, 2022
192022
Developing a model for multi-objective optimization of open channels and labyrinth weirs: Theory and application in Isfahan Irrigation Networks
A Ferdowsi, M Valikhan-Anaraki, SF Mousavi, S Farzin, S Mirjalili
Flow Measurement and Instrumentation, 101971, 2021
172021
A new framework for missing data estimation and reconstruction based on the geographical input information, data mining, and multi-criteria decision-making; theory and …
A Mohaghegh, S Farzin, MV Anaraki
Groundwater for Sustainable Development 17, 100767, 2022
82022
Modeling the optimal dosage of coagulants in water treatment plants using various machine learning models
M Achite, S Farzin, N Elshaboury, M Valikhan Anaraki, M Amamra, ...
Environment, Development and Sustainability 26 (2), 3395-3421, 2024
72024
Predicting rainfall response to climate change and uncertainty analysis: Introducing a novel downscaling CMIP6 models technique based on the stacking ensemble machine learning
MV Anaraki, M Kadkhodazadeh, A Morshed-Bozorgdel, S Farzin
Journal of Water and Climate Change 14 (10), 3671-3691, 2023
72023
Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria
MV Anaraki, M Achite, S Farzin, N Elshaboury, N Al-Ansari, I Elkhrachy
Water 15 (20), 3576, 2023
52023
A new combination approach for optimal design of sedimentation tanks based on hydrodynamic simulation model and machine learning algorithms
A Ferdowsi, M Valikhan-Anaraki, S Farzin, SF Mousavi
Physics and Chemistry of the Earth, Parts A/B/C 127, 103201, 2022
52022
A new methodology for reference evapotranspiration prediction and uncertainty analysis under climate change conditions based on machine learning, multi criteria decision making …
M Kadkhodazadeh, MV Anaraki, A Morshed-Bozorgdel, S Farzin
52022
Modeling and predicting suspended sediment load under climate change conditions: a new hybridization strategy. J Water Clim Chang 2021
S Farzin, M Valikhan Anaraki
52021
Introducing a Nonlinear Model Based on Hybrid Machine Learning for Modeling and Prediction of Precipitation and Comparison with SDSM Method (Cases Studies: Shahrekord, Barez …
MV ANARAKI, SF Mousavi, S Farzin, H Karami
Iranian Journal of Soil and Water Research 51, 325-339, 2020
42020
Modeling of qualitative parameters (electrical conductivity and total dissolved solids) of Karun river at Mollasani, Ahvaz and Farsiat stations using data mining methods.
A Mohaghegh, MV Anaraki, S Farzin
32020
The system can't perform the operation now. Try again later.
Articles 1–20