Machine learning assisted droplet trajectories extraction in dense emulsions
Work
Year: 2022
Type: article
Abstract: This work analyzes trajectories obtained by YOLO and DeepSORT algorithms of dense emulsion systems simulated via lattice Boltzmann methods. The results indicate that the individual droplet’s moving d... more
Institutions Italian Institute of Technology, Istituto per le Applicazioni del Calcolo Mauro Picone, Roma Tre University, Harvard University
Cites: 33
Cited by:
Related to: 10
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Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid