Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
This paper presents a novel adaptation mechanism that allows every node of a gossip-based broadcast algorithm to adjust the rate of message emission 1) to the amount of resources ...
Users are storing ever-increasing amounts of information digitally, driven by many factors including government regulations and the public’s desire to digitally record their per...
Mark W. Storer, Kevin M. Greenan, Ethan L. Miller,...
Distributed wireless ad-hoc networks (DWANs) pose numerous technical challenges. Among them, two are widely considered as crucial: autonomous localized operation and minimization ...
Farinaz Koushanfar, Abhijit Davare, Dai Tho Nguyen...
Future wireless networks will experience a continuous growth regarding the number of network elements with increasingly complex interrelations between the configuration of multipl...
Raphael Romeikat, Bernhard Bauer, Tobias Bandh, Ge...