A CNN-LSTM-based Deep Learning Approach for Driver Drowsiness Prediction

Abstract: The development of neural networks and machine learning techniques has recently been the cornerstone for many applications of artificial intelligence. These applications are now found in practically all aspects of our daily life. Predicting drowsiness is one of the most particularly valuab...

Full description

Bibliographic Details
Main Authors: Mohamed Gomaa, Rasha Mahmoud, Amany Sarhan
Format: Article
Language:Arabic
Published: Faculty of engineering, Tanta University 2022-09-01
Series:Journal of Engineering Research - Egypt
Subjects:
Online Access:https://erjeng.journals.ekb.eg/article_257197_afc57de559f2a5a28ba7c6000e27c0c6.pdf