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Author

Mahdi Valikhan Anaraki

Observed names: Anaraki, Mahdi Valikhan, M. Valikhan Anaraki, Mahdi Valikhan-Anaraki
Institution: Semnan University
Observed institution: Semnan University
ORCID: 0000-0002-4820-5393
Observed ORCID: 0000-0002-4820-5393
OpenAlex ID: A5071836602
Flow Direction Algorithm (FDA): A Novel Optimization Approach for Solving Optimization Problems
2021 · Hojat Karami, Mahdi Valikhan Anaraki, et al. · Computers & Industrial Engineering · 345
Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods
2020 · Mahdi Valikhan Anaraki, Saeed Farzin, et al. · Water Resources Management · 144
A New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods
2022 · Mojtaba Kadkhodazadeh, Mahdi Valikhan Anaraki, et al. · Sustainability · 89
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Introducing a framework for modeling of drug electrochemical removal from wastewater based on data mining algorithms, scatter interpolation method, and multi criteria decision analysis (DID)
2020 · Saeed Farzin, Farideh Nabizadeh Chianeh, et al. · Journal of Cleaner Production · 59
Humboldt Squid Optimization Algorithm (HSOA): A Novel Nature-Inspired Technique for Solving Optimization Problems
2023 · Mahdi Valikhan Anaraki, Saeed Farzin · IEEE Access · 52
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Modeling and predicting suspended sediment load under climate change conditions: a new hybridization strategy
2021 · Saeed Farzin, Mahdi Valikhan Anaraki · Journal of Water and Climate Change · 42
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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
2022 · Saeed Farzin, Mahdi Valikhan Anaraki, et al. · Journal of Water and Climate Change · 39
The Pine Cone Optimization Algorithm (PCOA)
2024 · Mahdi Valikhan Anaraki, Saeed Farzin · Biomimetics · 38
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Modeling the optimal dosage of coagulants in water treatment plants using various machine learning models
2022 · Mohammed Achite, Saeed Farzin, et al. · Environment Development and Sustainability · 38
A Novel Framework Based on the Stacking Ensemble Machine Learning (SEML) Method: Application in Wind Speed Modeling
2022 · Amirreza Morshed-Bozorgdel, Mojtaba Kadkhodazadeh, et al. · Atmosphere · 38
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Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies
2019 · Mahdi Valikhan-Anaraki, Sayed-Farhad Mousavi, et al. · Sustainability · 36
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Dye Pollutant Removal from Synthetic Wastewater: A New Modeling and Predicting Approach Based on Experimental Data Analysis, Kriging Interpolation Method, and Computational Intelligence Techniques
2022 · M. Valikhan Anaraki, F. Mahmoudian, et al. · Journal of Environmental Informatics · 34
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Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria
2023 · Mahdi Valikhan Anaraki, Mohammed Achite, et al. · Water · 32
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Optimal construction of an open channel by considering different conditions and uncertainty: application of evolutionary methods
2020 · Saeed Farzin, Mahdi Valikhan Anaraki · Engineering Optimization · 30
Developing a model for multi-objective optimization of open channels and labyrinth weirs: Theory and application in Isfahan Irrigation Networks
2021 · Ahmad Ferdowsi, Mahdi Valikhan-Anaraki, et al. · Flow Measurement and Instrumentation · 27
A new methodology for the prediction of optimal conditions for dyes' electrochemical removal; Application of copula function, machine learning, deep learning, and multi-objective optimization
2023 · Farideh Nabizadeh Chianeh, Mahdi Valikhan Anaraki, et al. · Process Safety and Environmental Protection · 24
A new combination approach for optimal design of sedimentation tanks based on hydrodynamic simulation model and machine learning algorithms
2022 · Ahmad Ferdowsi, Mahdi Valikhan-Anaraki, et al. · Physics and Chemistry of the Earth Parts A/B/C · 22
Predicting rainfall response to climate change and uncertainty analysis: Introducing a novel downscaling CMIP6 models technique based on the stacking ensemble machine learning
2023 · Mahdi Valikhan Anaraki, Mojtaba Kadkhodazadeh, et al. · Journal of Water and Climate Change · 21
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A new framework for missing data estimation and reconstruction based on the geographical input information, data mining, and multi-criteria decision-making; theory and application in missing groundwater data of Damghan Plain, Iran
2022 · Alireza Mohaghegh, Saeed Farzin, et al. · Groundwater for Sustainable Development · 21
Novel methodology for prediction of missing values in river flow based on convolution neural networks: Principles and application in Iran country
2025 · S. Farzin, M. Valikhan Anaraki, et al. · Physics and Chemistry of the Earth Parts A/B/C · 8
Towards cleaner waters: A comprehensive review of pollutant, quality challenges, monitoring advances, and treatment strategies
2026 · Fatemeh Mahmoudian, Zahra Khoramipoor, et al. · Physics and Chemistry of the Earth Parts A/B/C · 4
A New Flood Routing Framework Based on Modified Muskingum Model and Nature‐Based Optimization Algorithms
2025 · Mahdi Valikhan Anaraki, Saeed Farzin · Journal of Flood Risk Management · 3
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Bridging electrochemistry and artificial intelligence: A review of modeling, simulation, and optimization of electrochemical oxidation processes for wastewater treatment
2026 · Farideh Nabizadeh Chianeh, Fatemeh Mahmoudian, et al. · Journal of environmental chemical engineering · 2
Integrating Deep Learning and Copula Models for Flood–Drought Compound Analysis in Iran
2025 · Saeed Farzin, Mahdi Valikhan Anaraki, et al. · Water · 2
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Introducing a Novel Double Hybrid Algorithm (DHA) and Developing Its Application for Predicting Air Temperature Under Climate Change Conditions (A Case Study of Iran Country)
2024 · Mojtaba Kadkhodazadeh, Mahdi Valikhan Anaraki, et al. · Engineering Journal · 2
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Works count: 35
Citation count: 1,154
H-index: 19
I10-index: 19
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