Afficher la notice abrégée

dc.contributor.authorEscobar Pérez, Juan José 
dc.contributor.authorRodríguez, Francisco
dc.contributor.authorPrieto Campos, Beatriz 
dc.contributor.authorKimovski, Dragi
dc.contributor.authorOrtiz, Andrés
dc.contributor.authorDamas Hermoso, Miguel 
dc.date.accessioned2023-07-24T11:30:35Z
dc.date.available2023-07-24T11:30:35Z
dc.date.issued2023-06-27
dc.identifier.citationEscobar, J.J., Rodríguez, F., Prieto, B. et al. A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters. Computing (2023). [https://doi.org/10.1007/s00607-023-01193-7]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/83956
dc.description.sponsorshipSpanish Ministry of Science, Innovation, and Universities under grants PGC2018-098813-B-C31 and PID2022-137461NB-C32es_ES
dc.description.sponsorshipFunding for open access charge: University of Granada/ CBUAes_ES
dc.description.sponsorshipERDF fund
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectParallel and distributed programminges_ES
dc.subjectHeterogeneous clusterses_ES
dc.subjectEnergyaware computinges_ES
dc.subjectEEG classificationes_ES
dc.subjectKNN · Money-savinges_ES
dc.titleA distributed and energy‑efficient KNN for EEG classification with dynamic money‑saving policy in heterogeneous clusterses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1007/s00607-023-01193-7
dc.type.hasVersionVoRes_ES


Fichier(s) constituant ce document

[PDF]

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée

Atribución 4.0 Internacional
Excepté là où spécifié autrement, la license de ce document est décrite en tant que Atribución 4.0 Internacional