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Analysis and Modeling of Phenolic Compounds and Antioxidant Activity of Two Banana Varieties Using Machine Learning

dc.contributor.authorCarvalho, Filipe
dc.contributor.authorCouceiro, Paula
dc.contributor.authorGuiné, Raquel
dc.contributor.authorSilva, Pascola
dc.contributor.authorMendes, Mateus
dc.date.accessioned2025-09-17T09:38:36Z
dc.date.available2025-09-17T09:38:36Z
dc.date.issued2025-07
dc.identifier.citationCarvalho F, Couceuiro P, Guiné R, Silva P, Mendes M. (2025) Analysis and Modeling of Phenolic Compounds and Antioxidant Activity of Two Banana Varieties Using Machine Learning. Book of Proceedings of PAMDAS 2025 - International Conference on Physical Asset Management and Data Science, Coimbra, Portugal, Cap. 27, pp. 327-342.
dc.identifier.urihttp://hdl.handle.net/10400.19/9454
dc.language.isoeng
dc.peerreviewedyes
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAnalysis and Modeling of Phenolic Compounds and Antioxidant Activity of Two Banana Varieties Using Machine Learningpor
dc.typeconference proceedings
dspace.entity.typePublication
oaire.citation.conferenceDate2025-07
oaire.citation.endPage342
oaire.citation.startPage327
oaire.citation.titlePAMDAS 2025 - International Conference on Physical Asset Management and Data Science
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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