Applied machine learning to estimate length of separation and reattachment flows as parameter active flow control in backward facing step / Ahmad Fakhri Giyats, Mohamad Yamin and Cokorda Prapti Mahandari

Recently, large amounts of data from experimental measurements and simulations with high fidelity have extensively accelerated fluid mechanics advancement. Machine learning (ML) offers a wealth of techniques to extract data that can be translated into knowledge about the underlying fluid mechanics....

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Bibliographic Details
Main Authors: Giyats, Ahmad Fakhri, Yamin, Mohamad, Cokorda Prapti Mahandari, Cokorda Prapti Mahandari
Format: Article
Language:English
Published: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2023
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Online Access:https://ir.uitm.edu.my/id/eprint/84115/1/84115.pdf
https://doi.org/10.24191/jmeche.v20i3.23904
https://ir.uitm.edu.my/id/eprint/84115/
https://doi.org/10.24191/jmeche.v20i3.23904
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