Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Andrés M. Álvarez-Meza"'
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1695 (2022)
Brain activity stimulated by the motor imagery paradigm (MI) is measured by Electroencephalography (EEG), which has several advantages to be implemented with the widely used Brain–Computer Interfaces (BCIs) technology. However, the substantial inte
Externí odkaz:
https://doaj.org/article/c5786f11d0bd44748abd6344e41a04d6
Autor:
Andrés F. Valencia-Duque, David A. Cárdenas-Peña, Andrés M. Álvarez-Meza, Álvaro A. Orozco-Gutiérrez, Héctor F. Quintero-Riaza
Publikováno v:
Sensors, Vol 21, Iss 6, p 2186 (2021)
Pressure is one of the essential variables to give information about engine condition and monitoring. Direct recording of this signal is complex and invasive, while angular velocity can be measured. Nonetheless, the challenge is to predict the cylind
Externí odkaz:
https://doaj.org/article/1b9ccb406fd547d6b5511a8a92baed88
Autor:
ANDRÉS M. ÁLVAREZ MEZA, GENARO DAZA SANTACOLOMA, CARLOS D. ACOSTA MEDINA, GERMÁN CASTELLANOS DOMÍNGUEZ
Publikováno v:
Dyna, Vol 79, Iss 171, Pp 23-30 (2012)
RESUMEN: En este trabajo, se propone una metodología para la selección automática de los parámetros libres de la técnica de regresión basada en mínimos cuadrados máquinas de vectores de soporte (LS-SVM), a partir de un análisis de validació
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::8bb37f5917445c3b0555c163e7dd68f5
http://www.redalyc.org/articulo.oa?id=49623207004
http://www.redalyc.org/articulo.oa?id=49623207004
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Transfer entropy (TE) is a model-free effective connectivity measure based on information theory. It has been increasingly used in neuroscience because of its ability to detect unknown non-linear interactions, which makes it well suited for explorato
Externí odkaz:
https://doaj.org/article/3a7c63f8b5fd4642b001d0eaf7d94b1f
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
We introduce Enhanced Kernel-based Relevance Analysis (EKRA) that aims to support the automatic identification of brain activity patterns using electroencephalographic recordings. EKRA is a data-driven strategy that incorporates two kernel functions
Externí odkaz:
https://doaj.org/article/145efc6434d946eabd403447ebe9c4eb