CNN-LSTM network-based damage detection approach for copper pipeline using laser ultrasonic scanning

标题
CNN-LSTM network-based damage detection approach for copper pipeline using laser ultrasonic scanning
作者
关键词
Laser ultrasonic scanning, Convolutional neural network, Long short-term memory, Deep learning, Copper pipeline, Non-destructive testing
出版物
ULTRASONICS
Volume 121, Issue -, Pages 106685
出版商
Elsevier BV
发表日期
2022-01-11
DOI
10.1016/j.ultras.2022.106685

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