Advances in technology have been able to affect all aspects of human life. For example, the
use of technology in medicine has made significant contributions to human society. In this …

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

Condition monitoring, fault diagnosis, and scheduled maintenance of wind turbines (WTs)
are becoming a necessity to maximize their economic benefits and reduce their downtime …

Object detection and classification is an essential task of computer vision. A very efficient
algorithm for detection and classification is YOLO (You Look Only Once). We consider …

Autism spectrum disorder (ASD) is a developmental disability that can cause significant
social, communication, and behavioral challenges. Early intervention for children with ASD …

Aiming at the problems of inefficient detection caused by traditional manual inspection and
unclear features in metal surface defect detection, an improved metal surface defect …

Abstract Deep Neural Network (DNN) models for both resource-rich environments and
resource-constrained devices have become abundant in recent years. As of now, the …

Deep learning is now present in a wide range of services and applications, replacing and
complementing other machine learning algorithms. Performing training and inference of …

Small target detection is still a challenging task, especially when looking at fast and accurate
solutions for mobile or edge applications. In this work, we present YOLO-S, a simple, fast …

In the last decade, there has been a surge of interest in addressing complex Computer
Vision (CV) problems in the field of face recognition (FR). In particular, one of the most …