A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring.

DC ElementWertSprache
dc.contributor.authorBloemheuvel, Stefan
dc.contributor.authorvan den Hoogen, Jurgen
dc.contributor.authorAtzmueller, Martin
dc.date.accessioned2022-04-19T14:03:47Z-
dc.date.available2022-04-19T14:03:47Z-
dc.date.issued2021
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/52349-
dc.relation.ispartofarXiv: Learning
dc.subjectComputer science
dc.subjectGraph
dc.subjectNetwork model
dc.subjectNetwork analysis
dc.subjectComplex network
dc.subjectPower graph analysis
dc.subjectArtificial neural network
dc.subjectArtificial intelligence
dc.subjectBiological network
dc.titleA Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring.
dc.typejournal article
dc.identifier.urlhttps://arxiv.org/pdf/2105.05316.pdf
dc.identifier.externalhttps://openalex.org/W3163220067
dcterms.oaStatustrue
local.import.sourcefileopenalex_uos_20220409.ris
crisitem.author.deptFB 06 - Mathematik/Informatik/Physik-
crisitem.author.deptidfb6-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.netidAtMa176-
Zur Kurzanzeige

Seitenaufrufe

7
Letzte Woche
0
Letzter Monat
0
geprüft am 06.06.2024

Google ScholarTM

Prüfen