The continuous monitoring of animals is crucial for the well-being of both humans and
animals. A comprehensive animal monitoring system must incorporate animal detection …

Worldwide, the persistent trend of human and animal life losses, as well as damage to
properties due to wildlife–vehicle collisions (WVCs) remains a significant source of concerns …

Encounters between humans and wildlife often lead to injuries, especially in remote
wilderness regions, and highways. Therefore, animal detection is a vital safety and wildlife …

Wildlife roadkill is a recurring, dangerous problem that affects both humans and animals and
has received increasing attention from environmentalists worldwide. Addressing this …

In the realm of smart agriculture, our primary objective is to enhance security in the
agriculture field by combining IoT and computer vision technologies. By leveraging these …

Leveraging advanced technologies, such as the cascaded YOLOv8-based approach, this
research aims to detect wild animals, thereby preventing Wild animal intrusion in residential …

The detection of animals, in particular wildlife animals, is important to monitor their
distribution for the conservation of animal life and to address a broad range of questions of …

The transportation system undergoes severe impacts due to potholes and the presence of
stray animals on the roads resulting in accidents and fatal injuries. The utilization of …

Fine-grained image classification is active research in the field of computer vision.
Specifically, animal breed classification is an arduous task due to the challenges in camera …

The wild life population has been endangered by animal collisions with railway tracks.
Additionally, the railway infrastructure is also damaged by these accidents. Saving the larger …