Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Ad hoc networks are a type of computational system whose members may fail to, or choose not to, comply with the laws governing their behaviour. We are investigating to what extent ...
IPTV is considered to be the next killer application. A key, challenging issue is inhome IPTV distribution with affordable deployment cost and sufficient flexibility, scalability,...
Emad Shihab, Lin Cai, Fengdan Wan, T. Aaron Gulliv...
We introduce and describe a novel network simulation tool called NeSSi (Network Security Simulator). NeSSi incorporates a variety of features relevant to network security distingu...
— The Internet consists of independent networks that belong to different administrative domains and vary in scope from personal area networks, private home networks, corporate ne...
Bengt Ahlgren, Jari Arkko, Lars Eggert, Jarno Raja...