Login / Signup
Khalifa Al-Khalifa
Publication Activity (10 Years)
Years Active: 2018-2020
Publications (10 Years): 7
Top Topics
Vehicle Tracking
Driver Assistance Systems
Convolutional Neural Networks
Traffic Flow
Top Venues
CoRR
ICIoT
ANT/SEIT
Sensors
</>
Publications
</>
Rateb Jabbar
,
Mohammed Shinoy
,
Mohamed Kharbeche
,
Khalifa Al-Khalifa
,
Moez Krichen
,
Kamel Barkaoui
Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety.
CoRR
(2020)
Rateb Jabbar
,
Mohammed Shinoy
,
Mohamed Kharbeche
,
Khalifa Al-Khalifa
,
Moez Krichen
,
Kamel Barkaoui
Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application.
CoRR
(2020)
Rateb Jabbar
,
Mohamed Kharbeche
,
Khalifa Al-Khalifa
,
Moez Krichen
,
Kamel Barkaoui
Blockchain for the Internet of Vehicles: A Decentralized IoT Solution for Vehicles Communication Using Ethereum.
Sensors
20 (14) (2020)
Rateb Jabbar
,
Mohammed Shinoy
,
Mohamed Kharbeche
,
Khalifa Al-Khalifa
,
Moez Krichen
,
Kamel Barkaoui
Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application.
ICIoT
(2020)
Rateb Jabbar
,
Mohammed Shinoy
,
Mohamed Kharbeche
,
Khalifa Al-Khalifa
,
Moez Krichen
,
Kamel Barkaoui
Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety.
IINTEC
(2019)
Rateb Jabbar
,
Khalifa Al-Khalifa
,
Mohamed Kharbeche
,
Wael K. M. Alhajyaseen
,
Mohsen Jafari
,
Shan Jiang
Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques.
CoRR
(2018)
Rateb Jabbar
,
Khalifa Al-Khalifa
,
Mohamed Kharbeche
,
Wael K. M. Alhajyaseen
,
Mohsen Jafari
,
Shan Jiang
Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques.
ANT/SEIT
(2018)