Creating ensembles of random but "realistic" topologies for complex systems is crucial for many tasks such as benchmark generation and algorithm analysis. In general, exp...
Abstract. In this work we present a security model for low-value transactions in ad-hoc networks in which we focus on authentication since this is the core requirement for commerci...
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
— We introduce and discuss a novel link model that incorporates both uncertainty in the fading coefficients and the node distances for ad hoc networks with randomly placed nodes...
Having in mind that real-time streams tolerate some deadline misses according to (m,k)-firm constraints [1], this paper presents a solution that consists in integrating (m,k)-firm ...