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Applying non-invasive technology and machine learning to assess surface properties relevant to player-surface interaction.

dc.contributor.authorKrieger, Kevin J.
dc.contributor.authorPabrinkis, Aurimas
dc.date.accessioned2025-05-28T09:52:22Z
dc.date.available2025-05-28T09:52:22Z
dc.date.issued2025
dc.identifier.citationKrieger, K. J., & Pabrinkis, A. (2025). Applying non-invasive technology and machine learning to assess surface properties relevant to player-surface interaction. En C. Rodríguez & M. López-Flores (Eds.), European Sport Congress 2023: Book of abstracts (p. 6). Servicio de Publicaciones, Universidad de Oviedo.spa
dc.identifier.isbn978-84-10135-61-1
dc.identifier.urihttps://hdl.handle.net/10651/79135
dc.language.isoengspa
dc.publisherServicio de Publicaciones de la Universidad de Oviedospa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights© 2025 University of Oviedo
dc.rights© The authors
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleApplying non-invasive technology and machine learning to assess surface properties relevant to player-surface interaction.spa
dc.typebook partspa
dc.rights.accessRightsopen accessspa
dc.relation.ispartofURIhttps://hdl.handle.net/10651/79132
dc.type.hasVersionVoRspa


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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