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Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State

Research article (Revue d intelligence artificielle, 2019) · cited 134× · AI/ML
academia openalex:W2997052735
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Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State

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Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State is a scholarly article[1].

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  • Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-cnn-a-machine-learning-approach-for-driver-drowsiness-detection-based-on-eye-state
MLA “Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-cnn-a-machine-learning-approach-for-driver-drowsiness-detection-based-on-eye-state.
BibTeX @misc{4ortxyz_deep-cnn-a-machine-learning-approach-for-driver-drowsiness-detection-based-on-eye-state_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State}}, year = {2026}, url = {https://4ort.xyz/entity/deep-cnn-a-machine-learning-approach-for-driver-drowsiness-detection-based-on-eye-state}, note = {Accessed: 2026-05-24}}
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