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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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