Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s

D Bai, G Li, D Jiang, J Yun, B Tao, G Jiang… - … Applications of Artificial …, 2024 - Elsevier
Industrial products typically lack defects in smart manufacturing systems, which leads to an
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …

Deep learning for automatic vision-based recognition of industrial surface defects: a survey

M Prunella, RM Scardigno, D Buongiorno… - IEEE …, 2023 - ieeexplore.ieee.org
Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

Genetic algorithm-based trajectory optimization for digital twin robots

X Liu, D Jiang, B Tao, G Jiang, Y Sun… - … in Bioengineering and …, 2022 - frontiersin.org
Mobile robots have an important role in material handling in manufacturing and can be used
for a variety of automated tasks. The accuracy of the robot's moving trajectory has become a …

Multi-scale feature fusion convolutional neural network for indoor small target detection

L Huang, C Chen, J Yun, Y Sun, J Tian, Z Hao… - Frontiers in …, 2022 - frontiersin.org
The development of object detection technology makes it possible for robots to interact with
people and the environment, but the changeable application scenarios make the detection …

Low-illumination image enhancement algorithm based on improved multi-scale Retinex and ABC algorithm optimization

Y Sun, Z Zhao, D Jiang, X Tong, B Tao… - … in Bioengineering and …, 2022 - frontiersin.org
In order to solve the problems of poor image quality, loss of detail information and excessive
brightness enhancement during image enhancement in low light environment, we propose a …

A chaotic image encryption method based on the artificial fish swarms algorithm and the DNA coding

Y Zhu, C Wang, J Sun, F Yu - Mathematics, 2023 - mdpi.com
Aiming at the problems of small key space and weak resistance to differential attacks in
existing encryption algorithms, we proposed a chaotic digital image encryption scheme …

Real-time target detection method based on lightweight convolutional neural network

J Yun, D Jiang, Y Liu, Y Sun, B Tao, J Kong… - … in Bioengineering and …, 2022 - frontiersin.org
The continuous development of deep learning improves target detection technology day by
day. The current research focuses on improving the accuracy of target detection technology …

Improved multi-stream convolutional block attention module for sEMG-based gesture recognition

S Wang, L Huang, D Jiang, Y Sun, G Jiang… - … in Bioengineering and …, 2022 - frontiersin.org
As a key technology for the non-invasive human-machine interface that has received much
attention in the industry and academia, surface EMG (sEMG) signals display great potential …

Time optimal trajectory planing based on improved sparrow search algorithm

X Zhang, F Xiao, XL Tong, J Yun, Y Liu… - … in Bioengineering and …, 2022 - frontiersin.org
Complete trajectory planning includes path planning, inverse solution solving and trajectory
optimization. In this paper, a highly smooth and time-saving approach to trajectory planning …

Path planning optimization of intelligent vehicle based on improved genetic and ant colony hybrid algorithm

K Shi, L Huang, D Jiang, Y Sun, X Tong… - … in Bioengineering and …, 2022 - frontiersin.org
Intelligent vehicles were widely used in logistics handling, agriculture, medical service,
industrial production, and other industries, but they were often not smooth enough in …