Fluid Interface Image Processing Using Artificial Intelligence

Fluid interface study is a fundamental approach that not only explains fluid mechanics phenomenon, but has application in multiple domains, from oil industry, emulsion stabilization to medical imaging diagnosis (solid tumor detection and evolution), colloidal particles for pharmaceutics industry etc. This study aims to predict the moment of time at which the droplet or cavity interface between two immiscible fluids has a certain geometry. Machine learning algorithms such as regression tree are approached.