Effect of sampling rates on the accuracy of acoustic-laser technique in defect detection and upsampling using machine learning
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Published:2021-03-22
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Container-title:Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV
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Author:
Qin Renyuan,Lau Denvid
Cited by
1 articles.
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1. Application of machine learning for defect detection in FRP-bonded systems with different defect sizes;Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI;2022-04-18