Mohamed Ameksa

According to our database, Mohamed Ameksa authored at least 2 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A non-intrusive multivariate analysis for monitoring inattentive driving based on physiological signals, driver inputs and visual features: A hybrid deep learning approach.

Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Othmane El Meslouhi, Mohamed Ameksa, Hajar Mousannif, El Houssine El Mazoudi

Proceedings of the 10th International Conference on Wireless Networks and Mobile Communications, 2023

Machine Learning Prediction of Weather-Induced Road Crash Events for Experienced and Novice Drivers: Insights from a Driving Simulator Study.

Zouhair Elamrani Abou Elassad, Mohamed Ameksa, Dauha Elamrani Abou Elassad, Hajar Mousannif

Proceedings of the Business Intelligence - 8th International Conference, 2023