activity
20182024
most citedDriver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application

202 citations · 205 across the 5 of their papers we have counts for

collaborators

5 papers

econ.GN2024★ 1 cited

A simulation-optimization framework for food supply chain network design to ensure food accessibility under uncertainty

Mengfei Chen, Mohamed Kharbeche, Mohamed Haouari +1

How to ensure accessibility to food and nutrition while food supply chains suffer from demand and supply uncertainties caused by disruptive forces such as the COVID-19 pandemic and…

cs.CR2023

ESP2CS: Securing Internet of Vehicles through Blockchain-enabled Communications and Payments

Rateb Jabbar, Mohamed Kharbeche

The burgeoning domain of the Internet of Vehicles (IoV), a subset of the Internet of Things (IoT), promises to revolutionize transportation through enhanced safety, efficiency, and…

cs.CY2020

Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety

Rateb Jabbar, Mohammed Shinoy, Mohamed Kharbeche +3

Qatar expects more than a million visitors during the 2022 World Cup, which will pose significant challenges. The high number of people will likely cause a rise in road traffic con…

cs.CV2020★ 202 cited

Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application

Rateb Jabbar, Mohammed Shinoy, Mohamed Kharbeche +3

A sleepy driver is arguably much more dangerous on the road than the one who is speeding as he is a victim of microsleeps. Automotive researchers and manufacturers are trying to cu…

cs.CV2018★ 2 cited

Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques

Rateb Jabbar, Khalifa Al-Khalifa, Mohamed Kharbeche +3

Road crashes and related forms of accidents are a common cause of injury and death among the human population. According to 2015 data from the World Health Organization, road traff…