This paper contains two important contributions for the development of possibilistic causal networks. The first one concerns the representation of interventions in possibilistic ...
We present a sophisticated framework to systematically explore the temporal correlation in environmental monitoring wireless sensor networks. The presented framework optimizes los...
The presented paper deals with a generic process for road network selection based on data enrichment and structure detection. The first step is to detect significant structures and...
This research explores how to communicate an individuals’ self-reported emotional state to members of their personal social network, through automatic, computer-generated, perso...
We show that the "fractal" behavior of Internet traffic can be efficiently and practically employed to significantly reduce packetloss. Thanks to recent advances in the t...