This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …

Hong Kong, among the world's most densely populated cities, has witnessed rapid growth in
traffic volume, resulting in increased traffic density and vehicle loads. Regular bridge …

(1) Background: Colon polyps are common protrusions in the colon's lumen, with potential
risks of developing colorectal cancer. Early detection and intervention of these polyps are …

Occupational safety encompasses a range of practices adopted to protect the health and
safety of employees. In the construction and industrial sectors, employees may be exposed …

Various statistical data indicate that mobile source pollutants have become a significant
contributor to atmospheric environmental pollution, with vehicle tailpipe emissions being the …

With the rapid advancement of autonomous driving technology, the recognition of vehicle
lane-changing can provide effective environmental parameters for vehicle motion planning …

In this study, it was aimed to detect defects in plastic parts produced in a company operating
in the automotive sub-industry using the YOLOv8 object detection model. The defect types …

To address the challenge of suboptimal object detection outcomes stemming from the
deformability of marine flexible biological entities, this study introduces an algorithm tailored …

This technology can prevent accidents involving large vehicles, such as trucks or buses, by
selecting an optimal driving lane for safe autonomous driving. This paper proposes a …

The rapid global expansion of solar panel installations necessitates more efficient and cost-
effective methods for performance monitoring and maintenance. The New England Solar …