A deep learning-based approach for defect detection in powder bed fusion additive manufacturing using transfer learning

被引：0
|
作者：
Duman, Burhan [1 ]
Özsoy, Koray [2 ]
机构：
[1] Computer Engineering Department, Isparta University of Applied Sciences, Isparta,32100, Turkey
[2] Electric and Energy Department, Isparta University of Applied Sciences, Isparta,32400, Turkey
来源：
Journal of the Faculty of Engineering and Architecture of Gazi University | 2022年 / 37卷 / 01期
关键词：
Compendex;
D O I：
10.17341/GAZIMMFD.870436
中图分类号：
学科分类号：
摘要：
Defects
引用
收藏
页码：361 / 375
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