Generative AI and CAD automation for diverse and novel mechanical component designs under data constraints
Abstract The efficient design of complex engineering components in data-constrained environments presents significant challenges to traditional methodologies. Existing deep learning-based generative design approaches often depend on large datasets, which limits their applicability in data-scarce con...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06833-5 |
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