Articolo in rivista, 2022, ENG, 10.2478/caim-2022-0006
Durve, Mihir; Tiribocchi, Andriano; Montessori, Andrea; Lauricella, Marco; Succi, Sauro
Fdn Ist Italiano Tecnol IIT; CNR; Univ Roma Tre; Harvard Univ
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 direction is influenced more by the droplets immediately behind it than the droplets in front of it. The analysis also provide hints on constraints of a dynamical model of droplets for the dense emulsion in narrow channels.
Communications in Applied and Industrial Mathematics 13 (1), pp. 70–77
Lattice Boltzmann methods, YOLO, DeepSORT
Succi Sauro, Lauricella Marco, Tiribocchi Adriano
IAC – Istituto per le applicazioni del calcolo "Mauro Picone"
ID: 476792
Year: 2022
Type: Articolo in rivista
Creation: 2023-01-20 14:23:19.000
Last update: 2023-02-09 12:51:40.000
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:476792
DOI: 10.2478/caim-2022-0006
ISI Web of Science (WOS): 000878266600001