A Comparative Study of Different CNN Models using Transfer Learning for Weld Defect Classification in Radiographic Testing
Author:
Affiliation:
1. University Center of Mila,Dept. of Mathematics and Computer Science,Mila,Algeria
2. Research Center in Industrial Technologies,Algiers,Algeria,16014
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10441786/10441790/10442057.pdf?arnumber=10442057
Reference23 articles.
1. Weld Defect Detection and Classification based on Deep Learning Method: A Review;Purnomo;Jurnal Ilmu Komputer dan Informasi,2023
2. Software for an Automated Radiographic Testing in Weld Inspection (ARTWIS)
3. Multiclass Classification of Weld Defects in Radiographic Images Based on Support Vector Machines
4. Bayesian Networks-Based Defects Classes Discrimination in Weld Radiographic Images
5. Unsupervised weld defect classification in radiographic images using multivariate generalized Gaussian mixture model with exact computation of mean and shape parameters
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