Intelligent welding system technologies: State-of-the-art review and perspectives

B Wang, SJ Hu, L Sun, T Freiheit - Journal of Manufacturing Systems, 2020 - Elsevier
Welding systems are being transformed by the advent of modern information technologies
such as the internet of things, big data, artificial intelligence, cloud computing, and intelligent …

Advances techniques of the structured light sensing in intelligent welding robots: a review

L Yang, Y Liu, J Peng - The International Journal of Advanced …, 2020 - Springer
With the rapid development of artificial intelligence and intelligent manufacturing, the
traditional teaching-playback mode and the off-line programming (OLP) mode cannot meet …

Deep learning for multigrade brain tumor classification in smart healthcare systems: A prospective survey

K Muhammad, S Khan, J Del Ser… - … on Neural Networks …, 2020 - ieeexplore.ieee.org
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …

TGFuse: An infrared and visible image fusion approach based on transformer and generative adversarial network

D Rao, T Xu, XJ Wu - IEEE Transactions on Image Processing, 2023 - ieeexplore.ieee.org
The end-to-end image fusion framework has achieved promising performance, with
dedicated convolutional networks aggregating the multi-modal local appearance. However …

Surface defect detection of steel strips based on improved YOLOv4

M Li, H Wang, Z Wan - Computers and Electrical Engineering, 2022 - Elsevier
During the production and processing of steel strips, the production process and external
factors lead to surface defects that negatively impact the strips' integrity and functionality …

A steel surface defect inspection approach towards smart industrial monitoring

R Hao, B Lu, Y Cheng, X Li, B Huang - Journal of Intelligent Manufacturing, 2021 - Springer
With the advance in Industry 4.0, smart industrial monitoring has been proposed to timely
discover faults and defects in industrial processes. Steel is widely used in manufacturing …

An automatic welding defect location algorithm based on deep learning

L Yang, H Wang, B Huo, F Li, Y Liu - Ndt & E International, 2021 - Elsevier
Welding production has a pivotal role in the modern manufacturing industry. However,
welding defects are frequently generated during the complex welding production process …

Efficient surface defect detection using self-supervised learning strategy and segmentation network

R Xu, R Hao, B Huang - Advanced Engineering Informatics, 2022 - Elsevier
Surface defect detection plays a crucial role in the production process to ensure product
quality. With the development of Industry 4.0 and smart manufacturing, traditional manual …

Defect detection in welding radiographic images based on semantic segmentation methods

H Xu, ZH Yan, BW Ji, PF Huang, JP Cheng, XD Wu - Measurement, 2022 - Elsevier
In order to remove the limitations of human interpretation, many computer-aided algorithms
have been developed to automatically detect defects in radiographic images. Compared …

A generative adversarial network based deep learning method for low-quality defect image reconstruction and recognition

Y Gao, L Gao, X Li - IEEE Transactions on Industrial Informatics, 2020 - ieeexplore.ieee.org
In vision-based defect recognition, deep learning (DL) is a research hotspot. However, DL is
sensitive to image quality, and it is hard to collect enough high-quality defect images. The …