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Peer-reviewedCC BYSensors (Basel, Switzerland)

Robust Range-Doppler Acoustic Feature Fusion for Unauthorised Personnel Crossing Detection on Underground Belt Conveyors

  1. 1School of Computer Science and Technolgy/School of Artifficial Intelligence, , Xuzhou 221116, China; (Y.Y.); (B.X.)
  2. 2School of Geology and Mining Engineering, , Urumqi 830046, China

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BibTeX
@article{yin2026robust,
  title = {{Robust Range-Doppler Acoustic Feature Fusion for Unauthorised Personnel Crossing Detection on Underground Belt Conveyors}},
  author = {Yuqing Yin and Baoxuan Xu and Xu Yang and Wenhao Guo},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13667719},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Robust Range-Doppler Acoustic Feature Fusion for Unauthorised Personnel Crossing Detection on Underground Belt Conveyors
AU  - Yuqing Yin
AU  - Baoxuan Xu
AU  - Xu Yang
AU  - Wenhao Guo
PY  - 2026
DA  - 2026/10/01
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667719
SN  - 1424-8220
ER  -