Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lázaro Emílio Makili"'
Publikováno v:
Revista Ingeniería Electrónica, Automática y Comunicaciones, Vol 29, Iss 1, Pp 14-19 (2010)
La automatización del análisis de las señales generadas en un ambiente de fusión nuclear constituye una meta importante. El presente trabajo se encuadra en el contexto del desarrollo de clasificadores automáticos para las señales generadas en e
Externí odkaz:
https://doaj.org/article/50b0d5b305dd4bbdaeeb22afa20bd45d
Publikováno v:
Fusion Engineering and Design. 88:1170-1173
This paper addresses the reliable classification of images in a 5-class problem. To this end, an automatic recognition system, based on conformal predictors and using Support Vector Machines (SVM) as the underlying algorithm has been developed and ap
Autor:
Lazaro Emilio Makili, José Valdemiro Caseiro, Elda Jael Paulo, Arnaldo Luciano de Jesús Domingos, Abílio de Jesús Epalanga Anapaz, Hermenegildo José Camenhe Severino
Publikováno v:
Revista Angolana de Ciências, Vol 3, Iss 2, Pp 327-349 (2021)
Nos últimos meses a humanidade confronta-se com um enorme desafio, a propagação do novo coronavírus. O surto foi classificado como uma pandemia e as medidas para a sua contenção encontram-se no topo das prioridades. Na presença de circulação
Externí odkaz:
https://doaj.org/article/880c4d93e97e4a478c9f17493f6dce8a
Autor:
Gonzalo Farias, Sebastián Dormido-Canto, Jesús Vega, P. Busch, I. Pastor, D. Pérez-Risco, A. Pereira, A. Portas, Lázaro Emílio Makili, M.C. Rodríguez-Fernández
Publikováno v:
Fusion Engineering and Design, 85, 415-418
An automatic image classification system based on support vector machines (SVM) has been in operation for years in the TJ-II Thomson Scattering diagnostic. It recognizes five different types of images: CCD camera background, measurement of stray ligh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d00650514307b0c5de9b7839a959ddc
Publikováno v:
ResearcherID
This paper addresses the problem of finding a minimal and good enough training data set for classification purposes by using active learning and conformal predictors. Active learning means to have ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f0716658b1004a55d2cc2f6bd6800bb
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