We use the theory and algorithms developed for so-called shiftinvariant spaces to develop a novel distributed architecture for sampling and reconstructing non-bandlimited fields i...
This article provides a basic introduction to neural networks and neural network programming using the Encog Artificial Intelligence Framework. Encog is an AI framework that is ava...
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...
Tool installation and automation of administrative tasks in heterogeneous computer networks becomes of increasing importance with the availability of complex heterogeneous compute...
Routing as well as the management of communicationnetworks that support hybrid types of communications requiring quality of service is a very hard problem. We present here a frame...