Machine learning (ML) and deep learning (DL) have become very popular in the research
community for addressing complex issues in intelligent transportation. This has resulted in …

The fast-paced growth of artificial intelligence applications provides unparalleled
opportunities to improve the efficiency of various systems. Such as the transportation sector …

In the context of smart cities, ensuring road safety is crucial due to increasing urbanization
and the interconnected nature of contemporary urban environments. Leveraging innovative …

A traffic blockage in the middle of a commute affects unimpeded commuting. Automobile
gridlock is a significant problem in metropolitan cities, and a lack of technology to handle the …

The advent of the 4th industrial revolution has realized smart environments composed of
cloud and fog. These have been improved to enable intelligence at the fog, where …

Over the past decade, Smart cities have been advanced and minimizing traffic congestion
become the main concern in the progression of smart cities. The rapid growth in the number …

Smart city traffic management relies increasingly on UAV-assisted edge computing systems
to process real-time data and make informed decisions. A critical challenge in these systems …

Radar is a technique that detects and collects data about things using radio waves or
microwaves. It is able to ascertain these objects' range (distance), height, direction, and …

Utilizing electromagnetic waves to detect various physical elements like distance, speed,
position, range, and field of navigation, a radar-based security system is used to apply radio …

Recently, there has been an increase in concerns about the accessibility, security, and
reliability of aviation engines. To prevent engine failures which can be quite serious, it is …