We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
In this paper we introduce the idea of snapshot queries for energy efficient data acquisition in sensor networks. Network nodes generate models of their surrounding environment th...
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Abstract. Traditional approaches to multipath routing ignore the economic incentives necessary in aligning both networks and users towards a common goal. While theory suggests cong...
The evolution of any software product over its lifetime is unavoidable, caused both by bugs to be fixed and by new requirements appearing in the later stages of the product's...