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Modelo de predicción de la plaga Burkholderia Glumae en cultivos de arroz usando Machine Learning e Interpolación Espacial
(Universidad Peruana UniónPE, 2022-02-03)
En la actualidad, la agricultura, en especial el cultivo de arroz está siendo afectado por los constantes cambios climáticos, esto origina que algunos patógenos sean favorecidos alterando su producción, y a su vez generando ...
An entropy-based technique for classifying bacterial chromosomes according to synonymous codon usage
(Springer, 2017)
We present a framework based on information theoretic concepts and the Dirichlet distribution for classifying chromosomes based on the degree to which they use synonymous codons uniformly or preferentially, that is, whether ...
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
Detecção de intrusões através da seleção dinâmica de classificador baseada em redes de conselhos
(Universidade Federal de Santa MariaBrasilCiência da ComputaçãoUFSMPrograma de Pós-Graduação em Ciência da ComputaçãoCentro de Tecnologia, 2018-02-01)
Intrusion Detection Systems are common used for information analysis, that are collected
from computer networks and computer systems. Through the use of techniques such
as data classification, it is possible to identify ...
Redes Bayesianas para classificação com aprendizado via scoring and restrict: método, aplicação e comparação com métodos tradicionais
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Ciências Fisiológicas - PIPGCFCâmpus São Carlos, 2021-04-05)
This work is an investigation towards the behavior of discrete Bayesian Networks (BN) which aims to solve classification problems. This methodology is based on graphs and probability theories, and
it is defined to be ...