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An incremental learning approach to pbkp_rediction models of SEIRD variables in the context of the COVID-19 pandemic
ArticleAbstract: Several works have proposed pbkp_redictive models of the SEIRD (Susceptible, Exposed, Infected, RecoPalabras claves:covid-19, Machine learning, pbkp_rediction modelAutores:Ardila D., Camargo E., Francklin Rivas, José Lisandro Aguilar Castro, Quintero Y.Fuentes:scopusAnalysis of the socioeconomic impact due to COVID-19 using a deep clustering approach
ArticleAbstract: One of the main problems that countries are currently having is being able to measure the impact ofPalabras claves:Clustering evolution, covid-19, Socioeconomic model, Time series pbkp_rediction model, Unsupervised modelAutores:Ardila D., Cortes S., José Lisandro Aguilar Castro, Quintero Y.Fuentes:scopusMachine learning models for the pbkp_rediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables
ArticleAbstract: The SEIRD (Susceptible, Exposed, Infected, Recovered, and Dead) model is a mathematical model basedPalabras claves:covid-19, Data dependence analysis, Machine learning, pbkp_rediction modelAutores:Ardila D., Camargo E., Francklin Rivas, José Lisandro Aguilar Castro, Quintero Y.Fuentes:scopus