A convolutional neural network -based driver monitoring system for drowsiness and distraction detection
- DOI
- 10.11591/ijece.v16i4.pp2220-2229
- Published
- 2026-08-01
- Container
- International Journal of Electrical and Computer Engineering (IJECE)
- Publisher
- Institute of Advanced Engineering and Science
- 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.
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Cite this work
BibTeX
@article{allodium:10.11591/ijece.v16i4.pp2220-2229,
title = {A convolutional neural network -based driver monitoring system for drowsiness and distraction detection},
author = {Sara Benkouider and Nasreddine Lagraa},
year = {2026},
journal = {International Journal of Electrical and Computer Engineering (IJECE)},
doi = {10.11591/ijece.v16i4.pp2220-2229},
url = {https://doi.org/10.11591/ijece.v16i4.pp2220-2229}
}RIS
TY - JOUR TI - A convolutional neural network -based driver monitoring system for drowsiness and distraction detection AU - Sara Benkouider AU - Nasreddine Lagraa PY - 2026 JO - International Journal of Electrical and Computer Engineering (IJECE) DO - 10.11591/ijece.v16i4.pp2220-2229 UR - https://doi.org/10.11591/ijece.v16i4.pp2220-2229 ER -
APA
Benkouider, S., & Lagraa, N. (2026). A convolutional neural network -based driver monitoring system for drowsiness and distraction detection. International Journal of Electrical and Computer Engineering (IJECE). https://doi.org/10.11591/ijece.v16i4.pp2220-2229
Source records
- crossref · retrieved 2026-09-25T11:56:58.666Z