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Three-dimensional deep shape optimization with a limited dataset

delete2025-07-05
delete0
PRE
AI
Y
Yongmin Kwon
N
Namwoo Kang
DOI：10.1016/j.engappai.2025.111504delete
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Abstract

Abstract

En 中文
• Overcomes explicit parameterization limits using data-driven shape extraction. • Optimizes 3D shapes effectively with a limited dataset approach. • Achieves diverse design outcomes in multi-objective optimization. • Validates the advanced performance of the framework through multiple experiments.

Journal

Engineering Applications of Artificial Intelligence cover
Engineering Applications of Artificial Intelligence
IF:
8
Papers:
5.3K
Citations:
3.5W

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