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Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. February 2023, 145(2): 021501.
Paper No: FE-22-1194
Published Online: November 1, 2022
...Upender K. Kaul A machine learning methodology has been proposed in this paper to study the unsteady transonic aerodynamics in the flutter regime. The methodology is based on a well-established regularization technique, and it compares very well with the data modeling approach proposed recently...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. March 2021, 143(3): 031401.
Paper No: FE-20-1420
Published Online: November 18, 2020
... learning, has become more reliable. This type of heuristic modeling has a high demand for experimental data, which may not be available in some industrial applications. As a consequence, it may fail to deliver a sufficiently generalized transition prediction. Incorporation of physics in machine learning...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. February 2021, 143(2): 021401.
Paper No: FE-20-1191
Published Online: October 26, 2020
...-mails:  sarkodik@lsbu.ac.uk ; ksarkodie.coe@knust.edu.gh e-mail:  fergusa3@lsbu.ac.uk 22 03 2020 19 08 2020 26 10 2020 two-phase flow measurement non-intrusive infrared sensor machine learning probabilistic QDA Two phase flow commonly occurs in pipes found...