— A deep understanding of the structural properties of wireless networks is critical for evaluating the performance of network protocols and improving their designs. Many protoco...
Jianer Chen, Anxiao Jiang, Iyad A. Kanj, Ge Xia, F...
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
User Modelling is the core component for the majority of personalisation systems. By keeping a model for every user, a system can successfully personalise its content and utilise a...
One of the fundamental decisions in content networks is how the information about the existing contents is deployed and accessed. In particular, in many content network architectu...
In this paper, we employ the finite state machine (FSM) model for networks to investigate fault identification using passive testing. First, we introduce the concept of passive te...