CNN-ViT: A multi-feature learning based approach for driver drowsiness detection
Driver drowsiness remains a critical contributor to road accidents, frequently resulting in severe injuries and fatalities. To address this issue, the present study proposes an advanced drowsiness detection system that combines the competencies of Convolutional Neural Networks (CNNs) — namely DenseN...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-09-01
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Series: | Array |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005625000529 |
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