4D : A real-time driver drowsiness detector using deep learning

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4D : A real-time driver drowsiness detector using deep learning

There are a variety of potential uses for the classification of eye conditions, including tiredness detection, psychological condition evaluation, etc. Because of its significance, many studies utilizing typical neural network algorithms have already been published in the literature, with good resul...

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Bibliographic Details
Main Authors:	Jahan, Israt, Uddin, K. M. Aslam, Murad, Saydul Akbar, Miah, Md Saef Ullah, Khan, Tanvir Zaman, Masud, Mehedi, Aljahdali, Sultan, Bairagi, Anupam Kumar
Format:	Article
Language:	English
Published:	MDPI 2023
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/38190/ http://umpir.ump.edu.my/id/eprint/38190/1/4D_A%20real-time%20driver%20drowsiness%20detector%20using%20deep%20learning.pdf

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