YOLO has become a central real-time object detection system for robotics, driverless cars,
and video monitoring applications. We present a comprehensive analysis of YOLO's …

This paper implements a systematic methodological approach to review the evolution of
YOLO variants. Each variant is dissected by examining its internal architectural composition …

In computer vision, object detection is the classical and most challenging problem to get
accurate results in detecting objects. With the significant advancement of deep learning …

Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with
real-time object detection capabilities. This state-of-the-art technology is widely available …

Scholarly work points to 5S+ 1, a simple yet powerful method of initiating quality in
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …

Drowsiness is a major risk factor for road safety, contributing to serious injury, death, and
economic loss on the road. Driving performance decreases because of increased …

Road damage presents a significant risk to traffic safety, including pavement distress and
disaster-induced damage. Thanks to their high efficiency, computer vision-based methods …

Fabric quality plays a crucial role in modern textile industry processes. How to detect fabric
defects quickly and effectively has become the main research goal of researchers. The You …

Infrared ocean ships detection still faces great challenges due to the low signal-to-noise
ratio and low spatial resolution resulting in a severe lack of texture details for small infrared …

Crop leaf diseases can reflect the current health status of the crop, and the rapid and
automatic detection of field diseases has become one of the difficulties in the process of …