Aiming at the problems of high missed detection rates of the YOLOv7 algorithm for vehicle
detection on urban roads, weak perception of small targets in perspective, and insufficient …

Introduction The retina represents a critical ocular structure. Of the various ophthalmic
afflictions, retinal pathologies have garnered considerable scientific interest, owing to their …

Although traditional convolutional neural networks (CNN) have been significantly improved
for target detection, they cannot be completely applied to objects with occlusions in …

Many traffic accidents happen on the roads every day and a lot of them are captured on
traffic or dashboard cameras. This data could be used to train machine learning models to …

Tomatoes are essential fruits in numerous nations for their vast demand. It is very important
to maintain the freshness of tomatoes. One of the primary challenges in the recent culinary …

To address the issues of uneven sample lengths in the centrifuge machine bearings of the
ternary precursor, inaccurate fault feature extraction, and insensitivity of important feature …

Collision detection capabilities of industrial manipulator is essential for ensuring the human
safety during human machine collaboration. The payload variations will significantly …

The Vehicle Collision and Alert System using YOLO is a computer vision-based approach to
prevent vehicle collisions on roads. You Only Look Once, or YOLO, is a cutting-edge object …

According to worldwide statistics, traffic accidents are the cause of a high percentage of
violent deaths. Due to this and the wide use of video surveillance and intelligent traffic …

Vehicle collision detection is an essential aspect of modern transportation systems that aims
to reduce the frequency and severity of accidents on the roads. The primary goal of collision …