BROWSE
Detail
Conference Paper
A study of Defect Classification in Ceramic Materials using Deep Learning
Cited - time in 
Share 
Share
- Authors
- Hye-Jin S. Kim, Suyoung Chi
- Issue Date
- 2019-08
- Citation
- International Workshop on Big Data for Ceramics and Smart Manufacturing (BDCSM) 2019, pp.1-5
- Language
- English
- Type
- Conference Paper
- Abstract
- Ceramic products have been used for a long time. Recently, Ceramic parts have played an important role in smart-phone industries. In this paper, we demonstrate the defect classification technique for determining defects in advanced ceramic materials.
- KSP Keywords
- Advanced ceramic, Ceramic parts, Ceramic products, Classification techniques, Defect Classification, Long time, Smart Phone, ceramic material, deep learning(DL)