Amirreza Morshed-Bozorgdel

20222023202429 37 18

Mahdi Valikhan AnarakiPh.D. Water Resources Engineering and Management, Civil Engineering , Semnan UniversityVerified email at semnan.ac.ir
mojtaba kadkhodazadehM.Sc. of Water Resources Management, University of Semnan, IranVerified email at semnan.ac.ir
Saeed FarzinAssociate Professor, Faculty of Civil Engineering, Semnan UniversityVerified email at semnan.ac.ir
Khosrow HosseiniProfessor of Civil Engineering, Semnan UniversityVerified email at semnan.ac.ir

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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	51	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	20	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	7	2023
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	5	2022
Hydrological drought analysis in response to climate change based on a novel hybrid machine learning algorithm A Morshed-Bozorgdel, K Hosseini, S Farzin	1	2022

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