Recent progress of sensing and machine learning technologies for process monitoring and defects detection in wire arc additive manufacturing

Y Guo, Y Zhang, Z Pan, W Zhou - Journal of Manufacturing Processes, 2024‏ - Elsevier
Abstract Wire Arc Additive Manufacturing possesses advantages of high deposition rate and
low cost compared with other metal additive manufacturing processes. However, potential …

Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression

FH Awad, MM Hamad, L Alzubaidi - Life, 2023‏ - mdpi.com
Big-medical-data classification and image detection are crucial tasks in the field of
healthcare, as they can assist with diagnosis, treatment planning, and disease monitoring …

Generative AI in Industrial Machine Vision--A review

HA Zhou, D Wolfschläger, C Florides, J Werheid… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Machine vision enhances automation, quality control, and operational efficiency in industrial
applications by enabling machines to interpret and act on visual data. While traditional …

Model optimization and acceleration method based on meta-learning and model pruning for laser vision weld tracking system

Y Zou, J Yang - Industrial Robot: the international journal of robotics …, 2024‏ - emerald.com
Purpose This paper aims to propose a lightweight, high-accuracy object detection model
designed to enhance seam tracking quality under strong arcs and splashes condition …

[PDF][PDF] Generative AI in Industrial Machine Vision-A

HA Zhou, D Wolfschläger… - arxiv preprint …, 2024‏ - publications.rwth-aachen.de
Abstract Machine vision enhances automation, quality control, and operational efficiency in
industrial applications by enabling machines to interpret and act on visual data. While …

Single Image Dehazing using Alternate Pooling Fused Transformer Block with Attention Network

M Suganthi, C Akila - 2024‏ - researchsquare.com
Haze decreases contrast and limit sight in both outdoor and indoor images. Each pixel's
deterioration is unique and is influenced by how far the scene point is from the camera. The …

Near real-time hybrid dehazing based on the estimation of air light with deep learning

Y ÇİMTAY - 2023‏ - researchsquare.com
Haze which can be created by natural or synthetic factors, degrades the visual quality and
human sight distance. Visible objects become scarcely visible or invisible. The physics of the …

Weld Detection and Tracking Algorithm for Inspection Robot Based on Deep Learning

J Wang, J Yao, X Liu, Y Du, M Liu… - 2024 International …, 2024‏ - ieeexplore.ieee.org
Due to the particularity and security of the special equipment, its welds should be inspected
regularly. Compared to the manually operation mode, the inspection robot are able to …

Denoising Autoencoder Approach for Autonomous Tracking to Enhance Welding Tracking Accuracy for Shiny Metal Parts

NG Adar, A Yıldız - Available at SSRN 5002169‏ - papers.ssrn.com
Robotic welding, with its efficiency and precision, is leading the way as a fundamental
manufacturing process for welding metal parts. Recent advances in automation have …