Feature Extraction and Unsupervised Classification of Roadway Fracture Signals: A Full-Section Wi-Fi Wireless Monitoring Approach.

Zu C, Zhang W, Zhou Y, Peng C, Teng S, Zhao F

DOI: 10.3390/s26103018
Published: 2026 May 11
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26103018,
  title = {Feature Extraction and Unsupervised Classification of Roadway Fracture Signals: A Full-Section Wi-Fi Wireless Monitoring Approach.},
  author = {Zu C and Zhang W and Zhou Y and Peng C and Teng S and Zhao F},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26103018},
  url = {https://doi.org/10.3390/s26103018}
}

RIS

TY  - JOUR
TI  - Feature Extraction and Unsupervised Classification of Roadway Fracture Signals: A Full-Section Wi-Fi Wireless Monitoring Approach.
AU  - Zu C
AU  - Zhang W
AU  - Zhou Y
AU  - Peng C
AU  - Teng S
AU  - Zhao F
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26103018
UR  - https://doi.org/10.3390/s26103018
ER  -

APA

C, Z., W, Z., Y, Z., C, P., S, T., & F, Z. (2026). Feature Extraction and Unsupervised Classification of Roadway Fracture Signals: A Full-Section Wi-Fi Wireless Monitoring Approach.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26103018

Source records

pubmed · retrieved 2026-09-25T15:35:03.841Z