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Three-dimensional geometric augmentation guided by engineering uncertainty

delete2026-03-31
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PRE
AI
Y
Y.-J. Kwon
N
Namwoo Kang *
DOI：10.1016/j.engappai.2026.114648delete
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Abstract

Abstract

En 中文
• Proposes a framework integrating uncertainty quantification and free-form deformation. • Features an explicit lattice-based deep ensemble uncertainty quantification architecture. • Offers performance-aware three-dimensional shape augmentation. • Leverages epistemic uncertainty to guide active exploration.
Keywords:
uncertainty quantification
free-form deformation
shape augmentation
epistemic uncertainty
deep ensemble

Journal

Engineering Applications of Artificial Intelligence cover
Engineering Applications of Artificial Intelligence
IF:
8
Papers:
5.4K
Citations:
3.5W

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No organization information available