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Ciencias de la computación(2)
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A data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia
OtherAbstract: In this article, we introduce a data set concerning electric-power consumption-related features regiPalabras claves:Electric power consumption, forecasting, Machine learning, smart Grid, Socio-demographic dataAutores:Anaya-Isaza A.J., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Jorge Parraga-Alava, Moncayo-Nacaza J.D., Paul D. Rosero-MontalvoFuentes:googlescopusCBCovid19EC: A dataset complete blood count and PCR test for COVID-19 detection in Ecuadorian population
OtherAbstract: In this work, we present the complete blood count data and PCR test results of a population of EcuadPalabras claves:ECUADOR, Hematological data, Machine learning, SARS-COV-2Autores:Dorn M., J. Meza Hormaza, Jorge Parraga-Alava, Leticia Vaca-Cardenas, Luis Terán, Portmann E., Ricardo Ordoñez-AvilaFuentes:scopusFeature selection reveal peripheral blood parameter's changes between COVID-19 infections patients from Brazil and Ecuador
ArticleAbstract: The investigation of conventional complete blood-count (CBC) data for classifying the SARS-CoV-2 infPalabras claves:Brazil, covid-19, ECUADOR, Hematological data, Machine learning, SARS-COV-2Autores:Dorn M., Feltes B.C., Jaime Meza, Jaime Meza Hormaza, Jorge Parraga-Alava, Luis Terán, Portmann E., Vieira I.A.Fuentes:googlescopusRoCoLe: A robusta coffee leaf images dataset for evaluation of machine learning based methods in plant diseases recognition
OtherAbstract: In this article we introduce a robusta coffee leaf images dataset called RoCoLe. The dataset containPalabras claves:Coffee leaf rust, Hemileia vastatrix, Machine learning, Plant diseases recognition, Red spider mite, Tetranychus urticaeAutores:Cusme K., Jorge Parraga-Alava, Loor A., Santander E.Fuentes:googlescopus