Experimental velocity data estimation for imperfect particle images using machine learning
Author:
Affiliation:
1. Department of Mechanical Engineering, Keio University, Yokohama 223-8522, Japan
2. Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, California 90095, USA
Funder
Japan Society for the Promotion of Science
Publisher
AIP Publishing
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0060760
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