Enhancing wind erosion assessment of metal structures on dry and degraded lands through machine learning

dc.contributor.author	Terrados Cristos, Marta
dc.contributor.author	Ortega Fernández, Francisco de Asís
dc.contributor.author	Díaz Piloñeta, Marina
dc.contributor.author	Rodríguez Montequín, Vicente
dc.contributor.author	Álvarez Cabal, José Valeriano
dc.date.accessioned	2024-02-26T07:38:48Z
dc.date.available	2024-02-26T07:38:48Z
dc.date.issued	2023
dc.identifier.citation	Land, 12(8), (2023); doi:10.3390/land12081503
dc.identifier.issn	2073-445X
dc.identifier.uri	https://hdl.handle.net/10651/71607
dc.description.sponsorship	Council of Science, Innovation, and University through FICYT [AYUD/2021/57418]; Council of Science, Innovation, and University of the Principality of Asturias [AYUD/2021/50953]
dc.language.iso	eng
dc.relation.ispartof	Land
dc.rights	© 2023 by the authors.
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168884827&doi=10.3390%2fland12081503&partnerID=40&md5=048aa8f4c9e1f32c09bb2530667c84de
dc.title	Enhancing wind erosion assessment of metal structures on dry and degraded lands through machine learning
dc.type	journal article
dc.identifier.doi	10.3390/land12081503
dc.relation.projectID	University of the Principality of Asturias [AYUD/2021/50953]
dc.relation.projectID	AYUD/2021/57418
dc.relation.publisherversion	http://dx.doi.org/10.3390/land12081503
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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