Home ›
Entities
› academia
› Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform
Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform
Research article (IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2021) · cited 50× · AI/ML
Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform
Summary
Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform is a scholarly article[1].
Key Facts
Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-quantification-of-subsurface-defects-by-analyzing-laser-ultrasonic-signals-using-convolutional-neural-networks
MLA“Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-quantification-of-subsurface-defects-by-analyzing-laser-ultrasonic-signals-using-convolutional-neural-networks.
BibTeX@misc{4ortxyz_automatic-quantification-of-subsurface-defects-by-analyzing-laser-ultrasonic-signals-using-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-quantification-of-subsurface-defects-by-analyzing-laser-ultrasonic-signals-using-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform — https://4ort.xyz/entity/automatic-quantification-of-subsurface-defects-by-analyzing-laser-ultrasonic-signals-using-convolutional-neural-networks (retrieved 2026-05-24)
