A Master's thesis at the College of Computer Science and Information Technology, University of Basrah, was titled "A Deep Learning-Based System for Early Detection of Driver Drowsiness."

The thesis, presented by student Ali Noor Mahdi, aimed to design an intelligent system for the early detection of driver drowsiness using deep learning techniques and facial feature analysis, such as eye closure, yawning, and head position.

The thesis included the development of an assembly model that integrates several neural networks with a fuzzy inference system enhanced by a molecular swarm optimization algorithm. This system enhances decision reliability under various driving conditions, contributing to supporting traffic safety systems and reducing the risk of accidents caused by driver fatigue.