...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...

... 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...

...-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...