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Autómatas celulares y aplicaciones
(FISEM, 2016)
Un autómata celular es un modelo matemático para un sistema dinámico
que evoluciona en pasos discretos. Este trabajo presenta una aplicación
de los autómatas celulares para el cifrado de información y el reparto de
secretos. ...
Optimización de ataques a redes complejas mediante un algoritmo de colonias de abejas artificiales
(Universidad de Salamanca, 2016)
En los últimos años, ha crecido el interés en formular como
un problema de optimización la tarea de concebir ataques efectivos que
causen el máximo daño sobre redes complejas. En este caso, los ataques
se modelan como ...
Semi-supervised Learning for Ordinal Kernel Discriminant Analysis
(Elsevier, 2016)
Ordinal classication considers those classication problems where the labels of
the variable to predict follow a given order. Naturally, labelled data is scarce
or di_cult to obtain in this type of problems because, in ...
A new thresholding approach for automatic generation of polygonal approximations
(Elsevier, 2016)
The present paper proposes a new algorithm for automatic generation of
polygonal approximations of 2D closed contours based on a new thresholding
method. The new proposal computes the signi cance level of the contour
points ...
State of the Art, Trends and Future of Bluetooth Low Energy, Near Field Communication and Visible Light Communication in the Development of Smart Cities
(MDPI, 2016)
The current social impact of new technologies has produced major changes in all
areas of society, creating the concept of a smart city supported by an electronic infrastructure,
telecommunications and information technology. ...
A Review of Classification Problems and Algorithms in Renewable Energy Applications
(MDPI, 2016)
Classification problems and their corresponding solving approaches constitute one of the
fields of machine learning. The application of classification schemes in Renewable Energy (RE) has
gained significant attention in ...
Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle
(Universidad de Córdoba, UCOPress, 2016)
En este artículo, aplicamos técnicas de minería de datos para descubrir rutas de aprendizaje frecuentes. Hemos utilizado datos de 84 estudiantes universitarios, seguidos en un curso online usando Moodle 2.0. Proponemos ...
An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks
(Springer, 2016)
This chapter considers a recent algorithm to add broader diversity at the beginning of the evolutionary process and extends it to sigmoidal neural networks. A simultaneous evolution of architectures and weights is performed ...