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Fracture acoustic emission signals identification of stay cables in bridge engineering application using deep transfer learning and wavelet analysis
Research article (Advances in Bridge Engineering, 2020) · cited 57× · AI/ML
Fracture acoustic emission signals identification of stay cables in bridge engineering application using deep transfer learning and wavelet analysis
Summary
Fracture acoustic emission signals identification of stay cables in bridge engineering application using deep transfer learning and wavelet analysis is a scholarly article[1].
Key Facts
Fracture acoustic emission signals identification of stay cables in bridge engineering application using deep transfer learning and wavelet analysis's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Fracture acoustic emission signals identification of stay cables in bridge engineering application using deep transfer learning and wavelet analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/fracture-acoustic-emission-signals-identification-of-stay-cables-in-bridge-engineering-application-using-deep-transfer-l
MLA“Fracture acoustic emission signals identification of stay cables in bridge engineering application using deep transfer learning and wavelet analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fracture-acoustic-emission-signals-identification-of-stay-cables-in-bridge-engineering-application-using-deep-transfer-l.
BibTeX@misc{4ortxyz_fracture-acoustic-emission-signals-identification-of-stay-cables-in-bridge-engineering-application-using-deep-transfer-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fracture acoustic emission signals identification of stay cables in bridge engineering application using deep transfer learning and wavelet analysis}}, year = {2026}, url = {https://4ort.xyz/entity/fracture-acoustic-emission-signals-identification-of-stay-cables-in-bridge-engineering-application-using-deep-transfer-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fracture acoustic emission signals identification of stay cables in bridge engineering application using deep transfer learning and wavelet analysis — https://4ort.xyz/entity/fracture-acoustic-emission-signals-identification-of-stay-cables-in-bridge-engineering-application-using-deep-transfer-l (retrieved 2026-05-24)
