Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
The innate dynamicity and complexity of mobile ad-hoc networks (MANETs) has resulted in numerous ad-hoc routing protocols being proposed. Furthermore, numerous variants and hybrids...
Rajiv Ramdhany, Paul Grace, Geoff Coulson, David H...
Abstract. The Still-Life problem is challenging for CP techniques because the basic constraints of the game of Life are loose and give poor propagation for Still-Life. In this pape...
For a connected graph, representing a sensor network, distributed algorithms for the Set Covering Problem can be employed to construct reasonably small subsets of the nodes, calle...
Abstract-- Computing constrained shortest paths is fundamental to some important network functions such as QoS routing, which is to find the cheapest path that satisfies certain co...