Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines

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Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines

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Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines is a scholarly article[1].

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  • Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines. Retrieved May 24, 2026, from https://4ort.xyz/entity/weak-ultrasonic-guided-wave-signal-recognition-based-on-one-dimensional-convolutional-neural-network-denoising-autoencod
MLA “Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/weak-ultrasonic-guided-wave-signal-recognition-based-on-one-dimensional-convolutional-neural-network-denoising-autoencod.
BibTeX @misc{4ortxyz_weak-ultrasonic-guided-wave-signal-recognition-based-on-one-dimensional-convolutional-neural-network-denoising-autoencod_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines}}, year = {2026}, url = {https://4ort.xyz/entity/weak-ultrasonic-guided-wave-signal-recognition-based-on-one-dimensional-convolutional-neural-network-denoising-autoencod}, note = {Accessed: 2026-05-24}}
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