A lightweight CNN-transformer hybrid architecture with channel attention for real-time hazardous acoustic event detection.

Altayeva A, Omarov N

DOI: 10.3389/frai.2026.1824067
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.2026.1824067,
  title = {A lightweight CNN-transformer hybrid architecture with channel attention for real-time hazardous acoustic event detection.},
  author = {Altayeva A and Omarov N},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1824067},
  url = {https://doi.org/10.3389/frai.2026.1824067}
}

RIS

TY  - JOUR
TI  - A lightweight CNN-transformer hybrid architecture with channel attention for real-time hazardous acoustic event detection.
AU  - Altayeva A
AU  - Omarov N
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1824067
UR  - https://doi.org/10.3389/frai.2026.1824067
ER  -

APA

A, A., & N, O. (2026). A lightweight CNN-transformer hybrid architecture with channel attention for real-time hazardous acoustic event detection.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1824067

Source records

pubmed · retrieved 2026-09-26T00:33:12.209Z