Introducimos una propuesta en recuperación de información basada en
la consideración de recursos sintácticos y semánticos complejos y automáticamente
generados a partir de la propia colección documental. Se describe una estrategia
donde el lenguaje y el dominio de documentos son…

Multi-agent systems (MAS) offer an approach to solve complex problems where data and control are inherently distributed among several agents. Normally, agents have to cope with conflicts based on inconsistent knowledge which arise when they exchange information. A relative common…

Descripción completa.

On étudie l’application des algorithmes de décomposition matricielles tel que la Factorisation Matricielle Non-négative (FMN), aux représentations fréquentielles de signaux audio musicaux. Ces algorithmes, dirigés par une fonction d’erreur de reconstruction, apprennent un ensemble de fonctions de base et un…

Many studies have focused on the concept of humanization of birth in normal
pregnancy cases or at low obstetric risk, but no studies, at our knowledge, have so far
specifically focused on the humanization of birth in both high-risk, and…

Universidad Nacional de La Plata (UNLP) Intellectual Creativity Diffusion Service (SeDiCI) was formed mainly to publicise the knowledge acquired at the different academic areas of our university, having the goal of restoring to the community the efforts expended on public…

In this paper an adaptive fuzzy decentralized
control algorithm for trajectory tracking of robot manipulators is developed. The proposed decentralized control algorithm allows the overall closed-loop system to be stabilized while making the tracking error to be uniformly ultimately bounded…

Using the underlying idea of the current-mode control, a new dynamical, sliding-mode control for the boost dc-dc converter is proposed. Such controller is easy to design, robust under load and input voltage variations, exhibits fast response, does not depend on…

The construction of expert problem-solving systems requires the development of techniques for using modular representations of knowledge without encountering combinatorial explosions in the solution effort. This report describes an approach to dealing with this problem based on making some knowledge…

In this paper, we present a new model of an artificial
immune system (AIS), based on the process
that suffers the T-Cell, it is called T-Cell
Model. It is used for solving constrained (numerical)
optimization problems. The model operates
on…