Traffic signs detection for real-world application of an advanced driving assisting system using deep learning

R Ayachi, M Afif, Y Said, M Atri - Neural Processing Letters, 2020 - Springer
Recent advanced driving systems are used as luxury tools to handle a difficult or repetitive
task. One of the most important tasks is traffic signs detection that provides the driver with a …

Human emotion recognition based on facial expressions via deep learning on high-resolution images

Y Said, M Barr - Multimedia Tools and Applications, 2021 - Springer
Detecting human emotion based on facial expression is considered a hard task for the
computer vision community because of many challenges such as the difference of face …

Pedestrian detection based on light-weighted separable convolution for advanced driver assistance systems

R Ayachi, Y Said, A Ben Abdelaali - Neural Processing Letters, 2020 - Springer
The growth in the number of vehicles in the world makes it hard to safely share the
environment with pedestrians. Pedestrian's safety is an important task that needs to be …

Design of a face recognition system based on convolutional neural network (CNN)

Y Said, M Barr, HE Ahmed - Engineering, Technology & Applied Science …, 2020 - etasr.com
Face recognition is an important function of video surveillance systems, enabling verification
and identification of people who appear in a scene often captured by a distributed network of …

[PDF][PDF] Pynq-YOLO-Net: An embedded quantized convolutional neural network for face mask detection in COVID-19 pandemic era

Y Said - International Journal of Advanced Computer Science …, 2020 - academia.edu
The recent Coronavirus COVID-19 is a very infectious disease that is transmitted through
droplets generated when an infected person coughs, sneezes, or exhales. So, people must …

A vehicle plate recognition system based on deep learning algorithms

T Saidani, YE Touati - Multimedia Tools and Applications, 2021 - Springer
In modern life, the massive number of vehicles makes it hard for a human being to process
its related information. So, it is important to build an automatic system to collect information …

Efficient extraction of deep image features using a convolutional neural network (CNN) for detecting ventricular fibrillation and tachycardia

A Mjahad, M Saban, H Azarmdel, A Rosado-Muñoz - Journal of Imaging, 2023 - mdpi.com
To safely select the proper therapy for ventricular fibrillation (VF), it is essential to distinguish
it correctly from ventricular tachycardia (VT) and other rhythms. Provided that the required …

Real-time implementation of traffic signs detection and identification application on graphics processing units

R Ayachi, M Afif, Y Said, AB Abdelali - International Journal of …, 2021 - World Scientific
Traffic signs detection has become an important feature of Advanced driving assisting
systems and even self-driving cars. In this paper, we present an implementation of a traffic …

Pedestrian detection for advanced driving assisting system: a transfer learning approach

R Ayachi, M Afif, Y Said… - 2020 5th international …, 2020 - ieeexplore.ieee.org
Pedestrian detection is an important task that must be integrated into an advanced driving
assisting system (ADAS). For a pedestrian detection task many rules must be respected like …

Traffic sign recognition based on scaled convolutional neural network for advanced driver assistance system

R Ayachi, M Afif, Y Said… - 2020 IEEE 4th …, 2020 - ieeexplore.ieee.org
Advanced driver assistance system (ADAS) is one of the most important systems for human
assistance. It assists the drivers to control the vehicle by providing essential information …