Spatio-temporal anomaly detection with graph networks for data quality monitoring of the hadron calorimeter

dc.contributor.author	Asres, M. W.
dc.contributor.author	Omlin, C. W.
dc.contributor.author	Wang, L.
dc.contributor.author	Yu, D.
dc.contributor.author	Parygin, P.
dc.contributor.author	Dittmann, J.
dc.contributor.author	Karapostoli, G.
dc.contributor.author	Seidel, M.
dc.contributor.author	Venditti, R.
dc.contributor.author	Lambrecht, L.
dc.contributor.author	Usai, E.
dc.contributor.author	Ahmad, M.
dc.contributor.author	Fernández Menéndez, Javier
dc.contributor.author	Maeshima, K.
dc.date.accessioned	2024-08-26T08:33:53Z
dc.date.available	2024-08-26T08:33:53Z
dc.date.issued	2023
dc.identifier.citation	Sensors, 23(24), (2023); doi:10.3390/s23249679
dc.identifier.issn	1424-8220
dc.identifier.uri	https://hdl.handle.net/10651/74273
dc.language.iso	eng
dc.relation.ispartof	Sensors
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180616553&doi=10.3390%2fs23249679&partnerID=40&md5=ba060d3569d1e05e873caefcc624dee3
dc.title	Spatio-temporal anomaly detection with graph networks for data quality monitoring of the hadron calorimeter
dc.type	journal article
dc.identifier.doi	10.3390/s23249679
dc.relation.publisherversion	http://dx.doi.org/10.3390/s23249679

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