This paper aims to analyze the intellectual structure and research fronts in application
information security in smart cities to identify research boundaries, trends, and new …

Driving a car is an activity that became necessary for exploration, even when living in the
present world. Research exploring the topic of safety on the roads has therefore become …

Nowadays, deep learning (DL)-based video surveillance services are widely used in smart
cities because of their ability to accurately identify and track objects, such as vehicles and …

The number of cameras utilised in smart city domains is increasingly prominent and notable
for monitoring outdoor urban and rural areas such as farms and forests to deter thefts of …

Advances in Artificial intelligence (AI) and embedded systems have resulted on a recent
increase in use of image processing applications for smart cities' safety. This enables a cost …

This paper explores the transformative potential of digital platforms in fostering resilient and
intelligent urban environments, a critical need considering rapid urbanization and climate …

The usefulness of UAVs, drones, and other IoT-based technology has significantly increased
in the current era. In remote and delicate settings, this equipment is primarily used for aerial …

Abstract Video Object Detection and Tracking (VODT), one of its integral operations of
surveillance system in present time, mechanizes a way to identify and track the target object …

Video analytics play a pivotal role in enhancing the safety of intelligent surveillance and
autonomous driving. However, the transmission of vast video data and the computational …

Artificial intelligence (AI) has experienced a recent increase in use across a wide variety of
domains, such as image processing for security applications. Deep learning, a subset of AI …