Machine Design Automation Model for Metal Production Defect Recognition with Deep Graph Convolutional Neural Network

Machine Design Automation Model for Metal Production Defect Recognition with Deep Graph Convolutional Neural Network

Error detection has a vital function in the production stages. Computer-aided error detection applications bring significant technological innovation to the production process to control the quality of products. As a result, the control of product quality has reached an essential point because of co...

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Bibliographic Details
Main Authors: Yavuz Selim Balcıoğlu, Bülent Sezen, Ceren Cubukcu Çerasi, Shao Ho Huang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Electronics
Subjects:
metal
computer vision
neural network
graph
surface defect
Online Access:https://www.mdpi.com/2079-9292/12/4/825

Internet

https://www.mdpi.com/2079-9292/12/4/825

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