Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/97480
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dc.creatorCarlos Alberto Conceição António
dc.creatorCatarina Castro
dc.creatorLuísa Costa Sousa
dc.creatorRosa Santos
dc.creatorPedro Castro
dc.creatorElsa Azevedo
dc.date.accessioned2022-09-06T18:41:57Z-
dc.date.available2022-09-06T18:41:57Z-
dc.date.issued2013
dc.identifier.issn1015-9770
dc.identifier.othersigarra:65551
dc.identifier.urihttps://hdl.handle.net/10216/97480-
dc.language.isoeng
dc.rightsrestrictedAccess
dc.subjectCiências Tecnológicas, Ciências da Saúde, Ciências da engenharia e tecnologias
dc.subjectTechnological sciences, Health sciences, Engineering and technology
dc.titleCarotid flow predictions based on artificial neural network and Doppler signal
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.contributor.uportoFaculdade de Medicina
dc.subject.fosCiências da engenharia e tecnologias
dc.subject.fosEngineering and technology
Appears in Collections:FEUP - Artigo em Revista Científica Internacional
FMUP - Artigo em Revista Científica Internacional

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