Mobility, in its various forms, is one of the sources of several technical challenges being addressed in the last years to achieve a more flexible computing and communication inf...
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
We present an approximate inference approach to parameter estimation in a spatio-temporal stochastic process of the reaction-diffusion type. The continuous space limit of an infer...
Abstract. In this paper we consider a class of hybrid stochastic games with the piecewise openloop information structure. These games are indexed over a parameter which represents...
Performance of DNA sequencing-by-synthesis systems is fundamentally limited by the stochastic nature of the underlying biochemical process. We develop a novel graphical representa...