Enhancing societal security: a multimodal deep learning approach for a public person identification and tracking system.

Yuvasini D, Jegadeesan S, Selvarajan S, Mon FA.

Open source

DOI
10.1038/s41598-024-74560-9
Published
2024-10-14
Container
Sci Rep
Publisher
Not recorded
Open access
yes

Credibility signals

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

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-74560-9,
  title = {Enhancing societal security: a multimodal deep learning approach for a public person identification and tracking system.},
  author = {Yuvasini D and  Jegadeesan S and  Selvarajan S and  Mon FA.},
  year = {2024},
  journal = {Sci Rep},
  doi = {10.1038/s41598-024-74560-9},
  url = {https://doi.org/10.1038/s41598-024-74560-9}
}

RIS

TY  - JOUR
TI  - Enhancing societal security: a multimodal deep learning approach for a public person identification and tracking system.
AU  - Yuvasini D
AU  -  Jegadeesan S
AU  -  Selvarajan S
AU  -  Mon FA.
PY  - 2024
JO  - Sci Rep
DO  - 10.1038/s41598-024-74560-9
UR  - https://doi.org/10.1038/s41598-024-74560-9
ER  - 

APA

D, Y., S, J., S, S., & FA., M. (2024). Enhancing societal security: a multimodal deep learning approach for a public person identification and tracking system.. Sci Rep. https://doi.org/10.1038/s41598-024-74560-9

Source records