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"Towards Interpretable Machine Learning for Automated Damage Detection ..."

Christopher Schnur et al. (2022)

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DOI: 10.3390/S22010406

access: open

type: Journal Article

metadata version: 2023-08-28

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  - journals/sensors/SchnurGLBPTMSS22
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  - https://dblp.org/rec/journals/sensors/SchnurGLBPTMSS22
Christopher Schnur, Payman Goodarzi, Yevgeniya Lugovtsova, Jannis Bulling, Jens Prager, Kilian Tschöke, Jochen Moll, Andreas Schütze, Tizian Schneider:
Towards Interpretable Machine Learning for Automated Damage Detection Based on Ultrasonic Guided Waves. Sensors 22(1): 406 (2022)

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