The number of vehicles traveling between cities has increased significantly with the
acceleration of urbanization. This has resulted in several traffic-related issues, including …

Nowadays, with the expansion of the Internet, a lot of people publish their resumes on the
internet and social media networks. Large companies receive hundreds of resumes per day …

This study presents a novel Binary Object Detection Pattern Model (BODPM) to detect
objects with face key points and recognize them using the KERAS dataset. The proximity …

Smart transportation has become a key priority for the Saudi Arabian government in recent
years as part of its efforts to modernize its transportation infrastructure and improve mobility …

Responsible, ethical, and trustworthy decision-making powered by the new generation of
artificial intelligence (AI) and deep learning (DL) recently emerged as one of the key societal …

In this modern era, the use of vehicles is increasing tremendously due to the increase in the
population. The escalating issue of traffic congestion has emerged as a critical challenge in …

The importance of automatic vehicle detection and classification has grown significantly in
recent years, as it has become a crucial component of traffic management and monitoring …

The rapid growth of urbanization coupled with the rise in number of vehicles on roads have
resulted in various issues, including traffic congestion, emergency vehicle delays, and …

The domain of Automatic Incident Detection (AID) on roads is predominantly focused on
accident detection, lacking the ability to understand specific types of other incidents which …

Leveraging technological advancements, the study focuses on addressing the critical issue
of accidents that have lacked effective solutions. The major impact that will be caused by …