Interpretable Graph-Temporal-Spectral Fusion for Precursor-Related Anomaly Detection in Underground Mine Sensor Networks.

Mao S, Liang Y, Li Q

DOI: 10.3390/s26165305
Published: 2026 Aug 21
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26165305,
  title = {Interpretable Graph-Temporal-Spectral Fusion for Precursor-Related Anomaly Detection in Underground Mine Sensor Networks.},
  author = {Mao S and Liang Y and Li Q},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26165305},
  url = {https://doi.org/10.3390/s26165305}
}

RIS

TY  - JOUR
TI  - Interpretable Graph-Temporal-Spectral Fusion for Precursor-Related Anomaly Detection in Underground Mine Sensor Networks.
AU  - Mao S
AU  - Liang Y
AU  - Li Q
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26165305
UR  - https://doi.org/10.3390/s26165305
ER  -

APA

S, M., Y, L., & Q, L. (2026). Interpretable Graph-Temporal-Spectral Fusion for Precursor-Related Anomaly Detection in Underground Mine Sensor Networks.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26165305

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pubmed · retrieved 2026-11-10T08:04:52.017Z