Integration of Pattern Recognition and Machine Learning with the Acoustic Emission Method to Locate and Assess Corrosion in Cable-Stayed and Suspension Bridge Post-Tensioned Cable Anchorages
- DOI
- 10.3390/s26175667
- Published
- 2026-09-06
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26175667,
title = {Integration of Pattern Recognition and Machine Learning with the Acoustic Emission Method to Locate and Assess Corrosion in Cable-Stayed and Suspension Bridge Post-Tensioned Cable Anchorages},
author = {Aleksandra Krampikowska and Grzegorz Świt},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26175667},
url = {https://doi.org/10.3390/s26175667}
}RIS
TY - JOUR TI - Integration of Pattern Recognition and Machine Learning with the Acoustic Emission Method to Locate and Assess Corrosion in Cable-Stayed and Suspension Bridge Post-Tensioned Cable Anchorages AU - Aleksandra Krampikowska AU - Grzegorz Świt PY - 2026 JO - Sensors DO - 10.3390/s26175667 UR - https://doi.org/10.3390/s26175667 ER -
APA
Krampikowska, A., & Świt, G. (2026). Integration of Pattern Recognition and Machine Learning with the Acoustic Emission Method to Locate and Assess Corrosion in Cable-Stayed and Suspension Bridge Post-Tensioned Cable Anchorages. Sensors. https://doi.org/10.3390/s26175667
Source records
- crossref · retrieved 2026-11-06T21:18:12.280Z