Recent advances in Machine Learning based Advanced Driver Assistance System applications

G Tatar, S Bayar, I Cicek, S Niar - Microprocessors and Microsystems, 2024 - Elsevier
In recent years, the rise of traffic in modern cities has demanded novel technology to support
the drivers and protect the passengers and other third parties involved in transportation …

An evaluation of EfficientDet for object detection used for indoor robots assistance navigation

M Afif, R Ayachi, Y Said, M Atri - Journal of Real-Time Image Processing, 2022 - Springer
Indoor object detection and recognition present one of the most crucial tasks for computer
vision and robotic systems. Developing new intelligent autonomous robots is required in …

An Efficient Breast Cancer Segmentation System based on Deep Learning Techniques

SM Shaaban, M Nawaz, Y Said, M Barr - Engineering, Technology & …, 2023 - etasr.com
Breast cancer is one of the major threats that attack women around the world. Its detection
and diagnosis in the early stages can greatly improve care efficiency and reduce mortality …

A Human Face Detector for Big Data Analysis of Pilgrim Flow Rates in Hajj and Umrah

R Alharbey, A Banjar, Y Said, M Atri, M Abid - Engineering, Technology & …, 2024 - etasr.com
In today's digital world, some crowded venues still rely on outdated methods, such as
counting people using counters or sensors at the entrance. These techniques generally fail …

Enhancing the ability of convolutional neural networks for remote sensing image segmentation using transformers

M Barr - Neural Computing and Applications, 2024 - Springer
The segmentation of remote sensing images has emerged as a compelling undertaking in
computer vision owing to its use in the development of several applications. The U-Net style …

COVID-19 Disease Detection Using Deep Learning Techniques in CT Scan Images

M Afif, R Ayachi, S Yahia, M Atri - Advanced AI and Internet of Health …, 2023 - Springer
Since the end of 2019, the whole world is still facing a big damage caused by the COVID-19
pandemic. There is an increasing need to build new robust systems used to recognize …

[PDF][PDF] Электронные системы интеллектуальных транспортных средств

ДВ Ендачёв, СВ Бахмутов, ВВ Евграфов… - … машин, механизмов и …, 2020 - mmmm.by
Современное транспортное машиностроение тесно связано с внедрением
информационных систем. В автомобильном транспорте спектр таких разработок …

A transfer learning approach for smart home application based on evolutionary algorithms

M Afif, R Ayachi, Y Said, M Atri - … of Research on AI Methods and …, 2023 - igi-global.com
Building new systems used for indoor sign recognition and indoor wayfinding assistance
navigation, especially for blind and visually impaired persons, presents a very important …

[PDF][PDF] Recognition of occluded pedestrians from the driver's perspective for extending sight distance and ensuring driving safety at signal-free intersections

K Qie, J Wang, Z Li, Z Wang, W Luo - Digital Transportation and …, 2024 - maxapress.com
Urban intersections without traffic signals are prone to accidents involving motor vehicles
and pedestrians. Utilizing computer vision technology to detect pedestrians crossing the …

[PDF][PDF] Modelling E-scooterist Braking and Steering for Collision Avoidance

T Li - 2024 - research.chalmers.se
Introduction: In the last few years, new road safety issues have emerged with the growing
popularity of novel micromobility vehicles (MMVs). The term 'novel MMV'includes, in addition …