CNN-LSTM network-based damage detection approach for copper pipeline using laser ultrasonic scanning
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Title
CNN-LSTM network-based damage detection approach for copper pipeline using laser ultrasonic scanning
Authors
Keywords
Laser ultrasonic scanning, Convolutional neural network, Long short-term memory, Deep learning, Copper pipeline, Non-destructive testing
Journal
ULTRASONICS
Volume 121, Issue -, Pages 106685
Publisher
Elsevier BV
Online
2022-01-11
DOI
10.1016/j.ultras.2022.106685
References
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