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Machine learning assisted droplet trajectories extraction in dense emulsions Cover

Machine learning assisted droplet trajectories extraction in dense emulsions

Communications in Applied and Industrial Mathematics
Volume 13 (2022): Issue 1 (January 2022)
By: Mihir Durve,  Andriano Tiribocchi,  Andrea Montessori,  Marco Lauricella and  Sauro Succi  
Open Access
|Oct 2022

Authors

Mihir Durve

mihir.durve@iit.it

Center for Life Nano- & Neuro-Science, Fondazione Istituto Italiano di Tecnologia (IIT), Rome, Italy

Andriano Tiribocchi

Istituto per le Applicazioni del Calcolo del Consiglio Nazionale delle Ricerche, Rome, Italy

Andrea Montessori

Dipartimento di Ingegneria, Universit˜A degli Studi Roma tre, Rome, Italy

Marco Lauricella

Istituto per le Applicazioni del Calcolo del Consiglio Nazionale delle Ricerche, Rome, Italy

Sauro Succi

Center for Life Nano- & Neuro-Science, Fondazione Istituto Italiano di Tecnologia (IIT), Rome, Italy
Istituto per le Applicazioni del Calcolo del Consiglio Nazionale delle Ricerche, Rome, Italy
Department of Physics, Harvard University, United States
DOI: https://doi.org/10.2478/caim-2022-0006 | Journal eISSN: 2038-0909
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Language: English
Page range: 70 - 77
Submitted on: May 24, 2022
|
Accepted on: Oct 3, 2022
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Published on: Oct 31, 2022
Published by: Italian Society for Applied and Industrial Mathemathics
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Lattice Boltzmann methods,
YOLO,
DeepSORT
Related subjects:
Mathematics,
Numerical and computational mathematics,
Applied mathematics

© 2022 Mihir Durve, Andriano Tiribocchi, Andrea Montessori, Marco Lauricella, Sauro Succi, published by Italian Society for Applied and Industrial Mathemathics
This work is licensed under the Creative Commons Attribution 4.0 License.

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