Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characterization
Deep learning for nondestructive evaluation (NDE) has received a lot of attention in recent years for its potential ability to provide human level data analysis. However, little research into quantifying the uncertainty of its predictions has been done. Uncertainty quantification (UQ) is essential f...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 69(2022), 7 vom: 05. Juli, Seite 2339-2351
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| 1. Verfasser: |
Pyle, Richard J
(VerfasserIn) |
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| Weitere Verfasser: |
Hughes, Robert R,
Ali, Amine Ait Si,
Wilcox, Paul D |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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