Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
We propose a natural generalisation of asynchronous bounded delay (ABD) network models. The commonly used ABD models assume a known bound on message delay. This assumption is ofte...
The growing success of wireless ad hoc networks and portable hardware devices presents many interesting problems to software engineers. Particular, coordination is a challenging t...
Marco Tulio de Oliveira Valente, Fernando Magno Qu...
Cortical activity exhibits complex, persistent self-sustained dynamics, which is hypothesised to support the brain’s sophisticated processing capabilities. Prior studies have sho...
The growing popularity of mobile networks makes them increasingly attractive to virus writers, and malicious code targeting mobile devices has already begun to appear. Unfortunate...