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2022, Articolo in rivista, ENG

Machine learning assisted droplet trajectories extraction in dense emulsions

Durve, Mihir; Tiribocchi, Andriano; Montessori, Andrea; Lauricella, Marco; Succi, Sauro

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

DOI: 10.2478/caim-2022-0006

InstituteSelected 0/1
    IAC, Istituto per le applicazioni del calcolo "Mauro Picone" (1)
AuthorSelected 0/2
    Lauricella Marco (1)
    Tiribocchi Adriano (1)
TypeSelected 0/1
    Articolo in rivista (1)
Research programSelected 0/1
    DFM.AD003.358.001, COPMAT Accordo IIT (1)
EU Funding ProgramSelected 0/1
    H2020 (1)
EU ProjectSelected 0/1
    COPMAT (1)
YearSelected 0/1
    2022 (1)
LanguageSelected 0/1
    Inglese (1)
Keyword

DeepSORT

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