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    Developing Interpretable Pan Evaporation Forecasting Models for Wafra Agricultural Basin Based on Optimized Decision Tree Ensembles

    Source: Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 006::page 04025037-1
    Author:
    Alsumaiei, Abdullah A.
    DOI: 10.1061/JHYEFF.HEENG-6640
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe forecasting of pan evaporation has improved with the advancement of machine learning (ML) models. However, many existing approaches suffer from limited interpretability and uncertain transferability, limiting their practical value in water ...
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      Developing Interpretable Pan Evaporation Forecasting Models for Wafra Agricultural Basin Based on Optimized Decision Tree Ensembles

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311717
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    contributor authorAlsumaiei, Abdullah A.
    date accessioned2026-08-20T11:07:09Z
    date available2026-08-20T11:07:09Z
    date copyright2025/08/30
    date issued2025
    identifier otherJHYEFF.HEENG-6640.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311717
    description abstractAbstractThe forecasting of pan evaporation has improved with the advancement of machine learning (ML) models. However, many existing approaches suffer from limited interpretability and uncertain transferability, limiting their practical value in water ...
    publisherAmerican Society of Civil Engineers
    titleDeveloping Interpretable Pan Evaporation Forecasting Models for Wafra Agricultural Basin Based on Optimized Decision Tree Ensembles
    typeJournal Article
    journal volume30
    journal issue6
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/JHYEFF.HEENG-6640
    journal fristpage04025037-1
    journal lastpage04025037-15
    page15
    treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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