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 …

Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …

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 …

A vital problem faced by urban areas, traffic congestion impacts wealth, climate, and air
pollution in cities. Sustainable transportation systems (STSs) play a crucial role in traffic …

An explosion of interest has been observed in disease mapping with the developments in
advanced spatial statistics and the increasing availability of computerized geographic …

The present article aims to review and evaluate the practiced and classical techniques,
tools, models, and systems concerning automatic information extraction (IE) from published …

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 …