Unmanned Aerial Vehicles (UAVs) have immense potential to enhance Intelligent Transport
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …

Traffic management is improved in cutting-edge smart cities using technologies such as
machine learning and deep learning to streamline daily tasks and boost productivity …

In urban smart city environments, traffic hazards can lead to catastrophic outcomes,
including significant property losses and severe threats to public safety. Conventional traffic …

Image semantic segmentation is a technique that distinguishes different kinds of things in an
image by assigning a label to each point in a target category based on its" semantics". The …

In smart cities, effective traffic congestion management hinges on adept pedestrian and
vehicle detection. Unmanned Aerial Vehicles (UAVs) offer a solution with mobility, cost …

Intelligent traffic systems represent one of the crucial domains in today's world, aiming to
enhance traffic management efficiency and road safety. However, current intelligent traffic …

Unmanned aerial vehicles (UAVs) have gained significant popularity across various
domains, but their proliferation also raises concerns about security, public safety, and …

With the advancement of modern UAV technology, UAVs have become integral to creating
traffic management monitoring systems. Additionally, UAV-based traffic monitoring systems …

Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …

This paper aims to address the increasingly severe security threats in financial systems by
proposing a novel financial attack detection model, Finsformer. This model integrates the …