2021
DOI: 10.1007/978-3-030-76167-7_10
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CNN-Based Driver Drowsiness Detection System

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Cited by 4 publications
(1 citation statement)
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“…Overall, data exploration is an important step in the data science process as it helps to ensure that the data is appropriate for the analysis that will be performed. In the case of the State Farm Distracted Driver Detection competition, the data exploration process helped to Identify the characteristics of the dataset, which informed the development of the algorithm used to detect distracted drivers [11].…”
Section: A Data Explorationmentioning
confidence: 99%
“…Overall, data exploration is an important step in the data science process as it helps to ensure that the data is appropriate for the analysis that will be performed. In the case of the State Farm Distracted Driver Detection competition, the data exploration process helped to Identify the characteristics of the dataset, which informed the development of the algorithm used to detect distracted drivers [11].…”
Section: A Data Explorationmentioning
confidence: 99%