Applications of Machine Learning to Wind Engineering

Advances of the analytical, numerical, experimental and field-measurement approaches in wind engineering offers unprecedented volume of data that, together with rapidly evolving learning algorithms and high-performance computational hardware, provide an opportunity for the community to embrace and h...

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Bibliographic Details
Main Authors: Teng Wu, Reda Snaiki
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Built Environment
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fbuil.2022.811460/full