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    Closure to “Assessment of Artificial Intelligence–Based Models and Metaheuristic Algorithms in Modeling Evaporation” by Mohammad Zounemat-Kermani, Ozgur Kisi, Jamshid Piri, and Amin Mahdavi-Meymand 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 009:;page 07020015-1
    Author(s): Mohammad Zounemat-Kermani; Ozgur Kisi; Jamshid Piri; Amin Mahdavi-Meymand
    Publisher: ASCE
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    Prediction of Critical Velocity in Pipeline Flow of Slurries Using TLBO Algorithm: A Comprehensive Study 

    Source: Journal of Pipeline Systems Engineering and Practice:;2020:;Volume ( 011 ):;issue: 002
    Author(s): Sareh Sayari; Amin Mahdavi-Meymand; Mohammad Zounemat-Kermani
    Publisher: ASCE
    Abstract: Proper estimation of the critical flow velocity of slurries (Vc) is one of the most important parameters to design slurry transport in pipeline systems. In this study, three standard soft computing data-driven models ...
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    Assessment of Artificial Intelligence–Based Models and Metaheuristic Algorithms in Modeling Evaporation 

    Source: Journal of Hydrologic Engineering:;2019:;Volume ( 024 ):;issue: 010
    Author(s): Mohammad Zounemat-Kermani; Ozgur Kisi; Jamshid Piri; Amin Mahdavi-Meymand
    Publisher: American Society of Civil Engineers
    Abstract: Evaporation (Ep) has a vital importance for the management and development of water resources projects. In this study two scenarios are considered in prediction of monthly pan evaporation. The first scenario challenges the ...
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