Isoline Tracking in Particle-Based Fluids Using Level-Set Learning Representation
In this paper, we propose a learning model for tracking the isolines of fluid based on the physical properties of particles in particle-based fluid simulations. Our method involves analyzing which weights, closely related to surface tracking among the various physical properties of fluid particles,...
Main Authors: | Jun Yeong Kim, Chang Geun Song, Jung Lee, Jong-Hyun Kim, Jong Wan Lee, Sun-Jeong Kim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/6/2644 |
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