LiteDriveNet for driver distraction classification using a lightweight multi-scale convolutional neural network

Abirami Namachivayam, Nirmala Paramanandham

Open source

DOI
10.1038/s41598-026-58307-2
Published
2026-07-02
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 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/s41598-026-58307-2,
  title = {LiteDriveNet for driver distraction classification using a lightweight multi-scale convolutional neural network},
  author = {Abirami Namachivayam and Nirmala Paramanandham},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-58307-2},
  url = {https://doi.org/10.1038/s41598-026-58307-2}
}

RIS

TY  - JOUR
TI  - LiteDriveNet for driver distraction classification using a lightweight multi-scale convolutional neural network
AU  - Abirami Namachivayam
AU  - Nirmala Paramanandham
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-58307-2
UR  - https://doi.org/10.1038/s41598-026-58307-2
ER  - 

APA

Namachivayam, A., & Paramanandham, N. (2026). LiteDriveNet for driver distraction classification using a lightweight multi-scale convolutional neural network. Scientific Reports. https://doi.org/10.1038/s41598-026-58307-2

Source records