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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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Principais autores: Madduri Venkateswarlu, Venkata Rami Reddy Chirra
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-09-01
Serier:Array
Fag:
Hybrid CNN-viT model
Vision transformer
ResNet50
DenseNet121
VGG19
VGG16
Online adgang:http://www.sciencedirect.com/science/article/pii/S2590005625000529
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