What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
EDIT!
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter

Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Seán F. McLoone
What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction
CASE, 2019.

CASE 2019
DBLP
Scholar
DOI
Full names Links ISxN
@inproceedings{CASE-2019-MaggipintoSZM,
	author        = "Marco Maggipinto and Gian Antonio Susto and Federico Zocco and Seán F. McLoone",
	booktitle     = "{Proceedings of the 15th International Conference on Automation Science and Engineering}",
	doi           = "10.1109/COASE.2019.8842942",
	isbn          = "978-1-7281-0356-3",
	pages         = "1796--1801",
	publisher     = "{IEEE}",
	title         = "{What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction}",
	year          = 2019,
}

Tags:



Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.