The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task...
— Dynamic wireless networks, and especially mobile ad hoc networks, impose new constraints regarding the design and the implementation of service-oriented middleware platforms de...
This work describes a technique for improving network performance in Grid environments that we refer to as “logistics.” We demonstrate that by using storage and cooperative fo...
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
The aim of the CatNet project is to combine economic and computer science research to provide new coordination mechanisms for large-scale application-layer networks. The ability o...
Oscar Ardaiz, Felix Freitag, Leandro Navarro, Tors...