Reducing the Training Samples for Damage Detection of Existing Buildings Through Self-Space Approximation Techniques

AuthID
 P-00V-M9G
5
Author(s)
Barontini, A
·
Masciotta, MG
·
Ramos, LF
·
Document Type
Article
Year published
2021
Published
in SENSORS, ISSN: 1424-8220
Volume: 21, Issue: 21, Pages: 7155 (35)
Indexing
Wos®
Scopus®
Crossref®1
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85117948503
Wos: WOS:000718969500001
Source Identifiers
ISSN: 1424-8220
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