Tracking droplets in soft granular flows with deep learning techniques

The state-of-the-art deep learning-based object recognition YOLO algorithm and object tracking DeepSORT algorithm are combined to analyze digital images from fluid dynamic simulations of multi-core emulsions and soft flowing crystals and to track moving droplets within these complex flows. The YOLO...

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Detalles Bibliográficos
Autores principales: Durve, Mihir, Bonaccorso, Fabio, Montessori, Andrea, Lauricella, Marco, Tiribocchi, Adriano, Succi, Sauro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380117/
https://www.ncbi.nlm.nih.gov/pubmed/34458055
http://dx.doi.org/10.1140/epjp/s13360-021-01849-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380117/
https://www.ncbi.nlm.nih.gov/pubmed/34458055
http://dx.doi.org/10.1140/epjp/s13360-021-01849-3

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