A deep learning-based approach for detecting anomalous behavior in safety-critical spaces.

Anees A, Jalal SA, Hadi HJ, Ahmad N, Ladan M

Open source

DOI: 10.3389/frai.2026.1702756
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1702756,
  title = {A deep learning-based approach for detecting anomalous behavior in safety-critical spaces.},
  author = {Anees A and Jalal SA and Hadi HJ and Ahmad N and Ladan M},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1702756},
  url = {https://doi.org/10.3389/frai.2026.1702756}
}

RIS

TY  - JOUR
TI  - A deep learning-based approach for detecting anomalous behavior in safety-critical spaces.
AU  - Anees A
AU  - Jalal SA
AU  - Hadi HJ
AU  - Ahmad N
AU  - Ladan M
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1702756
UR  - https://doi.org/10.3389/frai.2026.1702756
ER  -

APA

A, A., SA, J., HJ, H., N, A., & M, L. (2026). A deep learning-based approach for detecting anomalous behavior in safety-critical spaces.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1702756

Source records

pubmed · retrieved 2026-09-27T15:33:58.456Z
europe-pmc · retrieved 2026-09-27T15:33:58.456Z
doaj · retrieved 2026-09-27T15:33:58.510Z