Using deep learning to retrieve 3D geometrical characteristics of a particle field from 2D projected images: Application to multiphase flows
Author:
Affiliation:
1. CEA, DES, ISEC, DMRC Univ Montpellier Marcoule,France
2. MINES Saint-Etienne, SPIN/LGF UMR CNRS 5307,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9854043/9853852/09854059.pdf?arnumber=9854059
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1. Retrieving mean volumetric properties of multiphase flows from 2D images: A new approach combining deep learning algorithms and 3D modelling;Chemical Engineering Science;2023-09
2. The Role of Stereological Assumptions in Bubble Size Estimations and Their Implications for Assessing Critical Coalescence Concentrations;Minerals;2023-06-13
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