Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
Many algorithms for processing probabilistic networks are dependent on the topological properties of the problem's structure. Such algorithmse.g., clustering, conditioning ar...
—This paper proposes a new discrete-time queue analytical model based on BLUE algorithm in order to determine the network congestion in preliminary stages. We compare the origina...
Hussein Abdel-jaber, Michael E. Woodward, Fadi A. ...
In this paper, we study the reachability problem for the class of (strictly) monotone Petri nets that we define based on algebraic conditions. More specifically, given a (strictly)...
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...