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System Health Monitoring using Conformal Anomaly Detection
Löfström, Tuve
University of Borås, Faculty of Librarianship, Information, Education and IT.
(Strategic Research Program in Data Science)
ORCID iD:
0000-0003-0274-9026
Linnusson, Henrik
University of Borås, Faculty of Librarianship, Information, Education and IT.
(Strategic Research Program in Data Science)
Sönströd, Cecilia
University of Borås, Faculty of Librarianship, Information, Education and IT.
(Strategic Research Program in Data Science)
Johansson, Ulf
University of Borås, Faculty of Librarianship, Information, Education and IT.
(Strategic Research Program in Data Science)
2015 (English)
Report (Other (popular science, discussion, etc.))
Place, publisher, year, edition, pages
Högskolan i Borås, 2015. , p. 20
Keywords [en]
System health monitoring, conformal anomaly detection
National Category
Computer Sciences
Research subject
Bussiness and IT
Identifiers
URN:
urn:nbn:se:hb:diva-9951
OAI: oai:DiVA.org:hb-9951
DiVA, id:
diva2:930675
Projects
Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving Semantics (PERICLES)
Funder
EU, FP7, Seventh Framework Programme
Note
Technical report
Available from:
2016-05-25
Created:
2016-05-25
Last updated:
2020-01-29
Bibliographically approved
Open Access in DiVA
No full text in DiVA
Authority records
Löfström, Tuve
Linnusson, Henrik
Sönströd, Cecilia
Johansson, Ulf
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Löfström, Tuve
Linnusson, Henrik
Sönströd, Cecilia
Johansson, Ulf
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Computer Sciences
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Cite
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ieee
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ieee
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vancouver
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