In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …

In smart cities, target detection is one of the major issues in order to avoid traffic congestion.
It is also one of the key topics for military, traffic, civilian, sports, and numerous other …

A brain tumor is a lethal neurological disease that affects the average performance of the
brain and can be fatal. In India, around 15 million cases are diagnosed yearly. To mitigate …

In order to solve the problems of high leakage rate, high false detection rate, low detection
success rate and large model volume of small targets in the traditional target detection …

Object detection is a critical task that becomes difficult when dealing with onboard detection
using aerial images and computer vision technique. The main challenges with aerial images …

This paper introduces a quantitative methodology for assessing drone pilot performance,
aiming to reduce drone-related incidents by understanding the human factors influencing …

Detecting small targets and handling target occlusion and overlap are critical challenges in
weld defect detection. In this paper, we propose the S-YOLO model, a novel weld defect …

As Unmanned Aerial Vehicle (UAV) remote sensing technology progresses, the utilization of
deep learning in UAV imagery object detection has become more prevalent. However …

Identification of sugarcane stem nodes is generally dependent on high-performance
recognition equipment in sugarcane seed pre-cutting machines and inefficient. Accordingly …

The number of accidental fires in buildings has been significantly increased in recent years
in Saudi Arabia. Fire Safety Equipment (FSE) plays a crucial role in reducing fire risks …