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Current knowledge of the nervous system, particularly the brain, is the result of technological advances and the collective effort of many scientists. However, it was Santiago Ramón y Cajal (1852–1934) who played a cr...

El presente trabajo propone una aplicación de herramientas provenientes del análisis de redes sociales y de programación para la explotación de información de una comunidad online, más específicamente una red soci...

This study evaluates the effectiveness of Argentina’s economic stabilization programs (1992, 2002, 2015, and 2024) by examining the structural collaboration among economic actors. Rather than focusing solely on macroec...

We compute the influence of a vertex on the connectivity structure of a directed network by using Shapley value theory. In general, the computation of such ratings is highly inefficient. We show how the computation can b...

This paper presents a time-delayed neural network (TDNN) model that has the capability of learning and predicting the dynamic behavior of nonlinear elements that compose a wireless communication system. This model could ...

The Relationship Networks Project (RR - Redes de Relacionamento) is an innovative project, which intends to create a framework, which allows - through a fast data modeling - implementing interface elements that describe ...

Recently, novel learning algorithms such as Support Vector Regression (SVR) and Neural Networks (NN) have received increasing attention in forecasting and time series prediction, offering attractive theoretical propertie...

The routing algorithms like Storage Area Networks (SAN) algorithms are actually deterministic algorithms, but they may become heuristics or probabilistic just because of applying biological inspired algorithms like Ant C...

Clustering techniques can be used as a basis for classification systems in which clusters can be classified into two categories: positive and negative. Given a new instance enew, the classification algorithm is applied t...

One of the most challenging aspects of the control theory is the design and implementation of controllers that can deal with changing environments, i. e., non stationary systems. Quite good progress has been made on this...

Los modelos gráficos probabilísticos, tales como las redes bayesianas y los diagramas de influencias permiten representar de forma coherente el conocimiento de un dominio bajo condiciones de incertidumbre. Están basad...

This article introduces an approach to anomaly intrusion detection based on a combination of supervised and unsupervised machine learning algorithms. The main objective of this work is an effective modeling of the TCP/IP...

The queuing analysis has been and is of enormous usefulness for the designers of networks and analysts of traffic, to effects of planning the capacities of the elements of network and of predicting his performance. These...

This paper proposes an original generic hierarchical framework in order to facilitate the modeling stage of complex autonomous robotics mission planning problems with action uncertainties. Such stochastic planning proble...

A novel method based on shape and texture information is proposed in this paper for facial expression recognition from video sequences. The Discriminant Non-negative Matrix Factorization (DNMF) algorithm is applied at th...

This paper presents a new traffic engineering multitreemultiobjective multicast routing algorithm (M-MMA) that solves for the first time the GMM model for Dynamic Multicast Groups. Multitree traffic engineering uses seve...

This paper presents a novel type of artificial neural network, called neural plasma, which is tailored for classification tasks involving few observations with a large number of variables. Neural plasma learns to adapt i...

A key problem in environmental monitoring is the spatial interpolation. The main current approach in spatial interpolation is geostatistical. Geostatistics is neither the only nor the best spatial interpolation method. A...

El diseño de sistemas informáticos para sitios de negocios electrónicos puede realizarse con configuraciones variadas de recursos de hardware, software y comunicaciones. Fundamentalmente debe considerar los requerimie...

It is a well established fact, that - in the case of classical random graphs like (variants of) Gn,p or random regular graphs - spectral methods yield efficient algorithms for clustering (e. g. colouring or bisection) pr...

"It has been recently found using graph theory that measures of network structure can predict ratings of dream complexity, where increases in connectedness and decreases in randomness are observed in relation to increasi...

Subjects / keywords: Actor-network theory; Research; Latin America; Sociology; Methodology; Science

Subjects / keywords: Social networks; Complexity (Philosophy); Graph theory

This work presents the application of Artificial Neural Networks, in particular the ART2, for the customer clustering of a dentistry room. The input data used in the application is based on the odontological anamn esis t...