A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection.

Zhu Y, Song Y, Xuan Y, Song Y, Pu J, Li J, Li M.

Open source

DOI: 10.3390/s26092864
Published: 2026-05-03
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

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uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.3390/s26092864,
  title = {A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection.},
  author = {Zhu Y and  Song Y and  Xuan Y and  Song Y and  Pu J and  Li J and  Li M.},
  year = {2026},
  journal = {Sensors (Basel)},
  doi = {10.3390/s26092864},
  url = {https://doi.org/10.3390/s26092864}
}

RIS

TY  - JOUR
TI  - A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection.
AU  - Zhu Y
AU  -  Song Y
AU  -  Xuan Y
AU  -  Song Y
AU  -  Pu J
AU  -  Li J
AU  -  Li M.
PY  - 2026
JO  - Sensors (Basel)
DO  - 10.3390/s26092864
UR  - https://doi.org/10.3390/s26092864
ER  -

APA

Y, Z., Y, S., Y, X., Y, S., J, P., J, L., & M., L. (2026). A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection.. Sensors (Basel). https://doi.org/10.3390/s26092864

Source records

europe-pmc · retrieved 2026-09-26T17:34:19.627Z
doaj · retrieved 2026-09-26T17:34:19.621Z