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 Sep 6
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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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 = {Krampikowska A and Świt G},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
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 - Krampikowska A AU - Świt G PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26175667 UR - https://doi.org/10.3390/s26175667 ER -
APA
A, K., & G, Ś. (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 (Basel, Switzerland). https://doi.org/10.3390/s26175667
Source records
- pubmed · retrieved 2026-09-25T01:18:21.107Z