Integrating defeasible argumentation with fuzzy ART neural networks for pattern classification

The first method is based on color and texture features extraction, followed by a selection of the most effective features, and classification with a hybrid of artificial

We propose to model the software system in a pragmatic way using as a design technique the well-known design patterns; from these models, the corresponding formal per- formance

de Inform ´atica e Ingenier´ıa de Sistemas, University of Zaragoza,

In this paper, we extend the approach for handling attribute conditions expressed in some suitable logic, adapt the operational mechanisms based on graph transformation to

Given a set of service de- scriptions, already classified under some classification taxonomy, and a new service description, we propose a heuristic for automated

1. Definition and measurement of parameters: The fundamental parameters, by which the risks associated with a project are assessed, are risk probability and risk

In light of this, this paper presents the discrete–continuous optimization methodology for solving the problem of optimal integration of PV DGs in electrical networks; by implementing

In this work, we propose an end-to-end approach to the language identification (LID) problem based on Convolutional Deep Neural Networks (CDNNs).. The use of CDNNs is mainly motivated