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Conference Paper A study of Defect Classification in Ceramic Materials using Deep Learning
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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)