Meta-models for transfer learning in source localization
In practice, nondestructive testing (NDT) procedures tend to consider experiments (and their respective models) as distinct, conducted in isolation, and associated with independent data. In contrast, this work looks to capture the interdependencies between acoustic emission (AE) experiments (as meta...
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Main Authors: | Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew Duncan, Mark Girolami |
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Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2024-01-01
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Series: | Data-Centric Engineering |
Subjects: | |
Online Access: | https://www.cambridge.org/core/product/identifier/S2632673624000431/type/journal_article |
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