Recently, different techniques have been applied to detect, predict, and reduce traffic
congestion to improve the quality of transportation system services. Deep learning (DL) is …

To constructively ameliorate and enhance traffic safety measures in Saudi Arabia, a prolific
number of AI (Artificial Intelligence) traffic surveillance technologies have emerged …

Effective waste management and recycling are essential for sustainable development and
environmental conservation. It is a global issue around the globe and emerging in Saudi …

Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has
become an essential task to seek an understanding of the situation in order to be able to …

Blockchain technology has emerged as one of the most crucial solutions in numerous
industries, including healthcare. The combination of blockchain technology and cloud …

This study explores a composite space-time and frequency-domain spreading strategy,
designed to augment the capacity of multicarrier 5G systems operating over …

Accepted: 20 November 2022 Many countries rely on oil and gas production as it is an
essential part of the global economy. As a result, various challenges may thrive from the …

The K-means algorithm, one of the most well-known clustering techniques, has been widely
employed to solve a variety of problems. In contrast, the k-means clustering algorithm has …

Large cities suffer from traffic congestion, particularly at intersections, due to a large number
of vehicles, which leads to the loss of time by increasing carbon emissions, including fuel …

The accurate prediction of demographic attributes of users, including age and gender, is a
pivotal challenge in personalized search, ad targeting, and other related fields. This …