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College of Engineering / 工學院
Industrial Engineering / 工業工程學研究所
Equipment condition diagnosis and fault fingerprint extraction in semiconductor manufacturing
Details
Equipment condition diagnosis and fault fingerprint extraction in semiconductor manufacturing
Journal
2016 15th IEEE International Conference on Machine Learning and Applications
Pages
534-539
Date Issued
2017
Author(s)
Rostami, H.
Blue, J.
Yugma, C.
JAKEY BLUE
DOI
10.1109/ICMLA.2016.90
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/467304
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015454213&doi=10.1109%2fICMLA.2016.90&partnerID=40&md5=0400f2bd9df3810ec093a26208f4ead5
Type
conference paper