— Simulation is the most famous way to study wireless an mobile networks since they offer a convenient combination of flexibility and controllability. However, their largest dis...
The increasing number of knowledge-based systems that build on a Bayesian belief network or influence diagram acknowledge the usefulness of these frameworks for addressing complex...
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
In this paper, we present a tool allowing the design of orchestration at a high level of abstraction. This tool also allows specifying security properties, also in an way, as anno...
—In this paper the Self-Localization problem for Sensor Networks is addressed. Given a set of nodes deployed in an environment, self-localization consists of finding out the loc...
Andrea Gasparri, Federica Pascucci, Giovanni Ulivi