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    Approach Based on Machine Learning for the Sensitivity Assessment of an Aerodynamic Shape

    Source: Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 001::page 04025118-1
    Author:
    Jabbari, Hossein
    ,
    Esmaeili, Ali
    DOI: 10.1061/JAEEEZ.ASENG-5804
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study presents an innovative approach to the aerodynamic optimization of wing-in-ground (WIG) effect vehicles, with a focus on enhancing operational efficiency and promoting environmental sustainability. A coupled framework was developed in ...
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      Approach Based on Machine Learning for the Sensitivity Assessment of an Aerodynamic Shape

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314114
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    contributor authorJabbari, Hossein
    contributor authorEsmaeili, Ali
    date accessioned2026-08-20T21:12:26Z
    date available2026-08-20T21:12:26Z
    date copyright2025/10/24
    date issued2026
    identifier otherJAEEEZ.ASENG-5804.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314114
    description abstractAbstractThis study presents an innovative approach to the aerodynamic optimization of wing-in-ground (WIG) effect vehicles, with a focus on enhancing operational efficiency and promoting environmental sustainability. A coupled framework was developed in ...
    publisherAmerican Society of Civil Engineers
    titleApproach Based on Machine Learning for the Sensitivity Assessment of an Aerodynamic Shape
    typeJournal Article
    journal volume39
    journal issue1
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/JAEEEZ.ASENG-5804
    journal fristpage04025118-1
    journal lastpage04025118-15
    page15
    treeJournal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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