A distributed and energy‑efficient KNN for EEG classification with dynamic money‑saving policy in heterogeneous clusters

Escobar Pérez, Juan José; Rodríguez, Francisco; Prieto Campos, Beatriz; Kimovski, Dragi; Ortiz, Andrés; Damas Hermoso, Miguel

doi:10.1007/s00607-023-01193-7

s00607-023-01193-7.pdf (2.561Mb)

Identificadores

URI: https://hdl.handle.net/10481/83956

DOI: 10.1007/s00607-023-01193-7

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Editorial

Springer Nature

Materia

Parallel and distributed programming

Heterogeneous clusters

Energyaware computing

EEG classification

KNN · Money-saving

Fecha

2023-06-27

Referencia bibliográfica

Escobar, 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]

Patrocinador

Spanish Ministry of Science, Innovation, and Universities under grants PGC2018-098813-B-C31 and PID2022-137461NB-C32; Funding for open access charge: University of Granada/ CBUA; ERDF fund

Colecciones

TIC117 - Artículos

Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución 4.0 Internacional