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

• Egile Nagusiak: Giyats, Ahmad Fakhri (Egilea), Yamin, Mohamad (Egilea), Cokorda Prapti Mahandari, Cokorda Prapti Mahandari (Egilea)
• Formatua: Liburua
• Argitaratua: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM), 2023-09.
• Gaiak: Article; PeerReviewed
• Sarrera elektronikoa: Link Metadata

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....