DC Element | Wert | Sprache |
dc.contributor.author | Bloemheuvel, Stefan | |
dc.contributor.author | van den Hoogen, Jurgen | |
dc.contributor.author | Atzmueller, Martin | |
dc.date.accessioned | 2022-04-19T14:03:47Z | - |
dc.date.available | 2022-04-19T14:03:47Z | - |
dc.date.issued | 2021 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/52349 | - |
dc.relation.ispartof | arXiv: Learning | |
dc.subject | Computer science | |
dc.subject | Graph | |
dc.subject | Network model | |
dc.subject | Network analysis | |
dc.subject | Complex network | |
dc.subject | Power graph analysis | |
dc.subject | Artificial neural network | |
dc.subject | Artificial intelligence | |
dc.subject | Biological network | |
dc.title | A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring. | |
dc.type | journal article | |
dc.identifier.url | https://arxiv.org/pdf/2105.05316.pdf | |
dc.identifier.external | https://openalex.org/W3163220067 | |
dcterms.oaStatus | true | |
local.import.sourcefile | openalex_uos_20220409.ris | |
crisitem.author.dept | FB 06 - Mathematik/Informatik/Physik | - |
crisitem.author.deptid | fb6 | - |
crisitem.author.parentorg | Universität Osnabrück | - |
crisitem.author.netid | AtMa176 | - |