Prediction of Degradation of Concrete Surface Layer Using Neural Networks Applied to Ultrasound Propagation Signals

dc.contributor.author	Kirillova, Evgenia
dc.contributor.author	Tatarinov, Alexey
dc.contributor.author	Kovalenko, Savva
dc.contributor.author	Shahmenko, Genadijs
dc.contributor.other	Fachbereich Architektur und Bauingenieurwesen
dc.date.accessioned	2025-07-31T11:25:26Z
dc.date.available	2025-07-31T11:25:26Z
dc.date.issued	2025-04-14
dc.identifier.issn	2624-599X
dc.identifier.uri	https://hlbrm.pur.hebis.de/xmlui/handle/123456789/315
dc.identifier.uri	http://dx.doi.org/10.25716/pur-206
dc.format.extent	19 S.
dc.language.iso	en
dc.publisher	MDPI
dc.relation.ispartof	Acoustics
dc.rights	CC BY
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	ultrasonic testing
dc.subject	neural networks
dc.subject	concrete
dc.subject	surface degradation
dc.subject.ddc	700 Künste und Unterhaltung::720 Architektur
dc.subject.ddc	000 Informatik, Informationswissenschaft und allgemeine Werke::000 Informatik, Wissen, Systeme::006 Spezielle Computerverfahren
dc.title	Prediction of Degradation of Concrete Surface Layer Using Neural Networks Applied to Ultrasound Propagation Signals
dc.type	Aufsatz
dcterms.accessRights	open access
pur.source.volume	7
pur.source.issue	2
dc.description.version	Published Version
pur.source.date	2025
dc.identifier.doi	10.3390/acoustics7020019
dc.identifier.url	https://www.mdpi.com/2624-599X/7/2/19
pur.fundingProject	/ / 4017013
pur.fundingProject	/ / lzp-2020/2-0033
pur.peerReview	true
pur.typeDCMI	Text

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