Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning · CHRIST (Deemed To Be University) Institutional Repository

Title: Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning
Description: IEEE Access Vol.9 pp.162805-162819
Creator: Altameem A.; Kumar A.; Poonia R.C.; Kumar S.; Saudagar A.K.J.
Source: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120584518&doi=10.1109%2fACCESS.2021.3131601&partnerID=40&md5=d3db07c29350cac4cecb25a868493db6
Date: 2021-01-01

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Citation

Altameem A.; Kumar A.; Poonia R.C.; Kumar S.; Saudagar A.K.J., “Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 7, 2025, https://archives.christuniversity.in/items/show/6394.

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