| 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 | 240 | 2021 |
| 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 | 122 | 2021 |
| 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 | 70 | 2022 |
| 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 | 62 | 2020 |
| 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 | 42* | 2021 |
| 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 | 34 | 2019 |
| 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 | 33 | 2022 |
| 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 | 33 | 2021 |
| 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 | 31 | 2022 |
| 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 | 27 | 2022 |
| 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 | 25 | 2021 |
| 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 | 19 | 2024 |
| 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 | 19 | 2023 |
| Humboldt Squid Optimization Algorithm (HSOA): A novel nature-inspired technique for solving optimization problems MV Anaraki, S Farzin IEEE Access 11, 122069-122115, 2023 | 18 | 2023 |
| 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 | 17 | 2022 |
| 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 | 14 | 2022 |
| 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 | 12 | 2023 |
| A new methodology for the prediction of optimal conditions for dyes' electrochemical removal; Application of copula function, machine learning, deep learning, and multi … FN Chianeh, MV Anaraki, F Mahmoudian, S Farzin Process Safety and Environmental Protection 182, 298-313, 2024 | 11 | 2024 |
| The Pine Cone Optimization Algorithm (PCOA) M Valikhan Anaraki, S Farzin Biomimetics 9 (2), 91, 2024 | 5 | 2024 |
| Introducing a nonlinear model based on hybrid machine learning for modeling and prediction of precipitation and comparison with SDSM method (Case study: Shahrekord, Barez, and … MV Anaraki, SF Mousavi, S Farzin, H Karami Iranian Journal of Soil and Water Research 51, 325-339, 2020 | 4 | 2020 |
Saeed FarzinAssociate Professor, Faculty of Civil Engineering, Semnan UniversityEmail verificata su semnan.ac.ir