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A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring

Crossref DOI link: https://doi.org/10.1007/s41109-021-00438-8

Published Online: 2021-12-23

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bloemheuvel, Stefan

van den Hoogen, Jurgen

Atzmueller, Martin http://orcid.org/0000-0002-2480-6901
Funding

Funding for this research was provided by:

Interreg (Interreg NWE729)

Universität Osnabrück
License Information

Text and Data Mining valid from 2021-12-01

Version of Record valid from 2021-12-23
More Information

Article History

Received: 6 May 2021

Accepted: 6 October 2021

First Online: 23 December 2021

Declarations

:

: None of the authors have any competing interests in the manuscript.

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