Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
One of the most important issues to deal with in peerto-peer networks is how to disseminate information. In this paper, we use a completely new approach to solving the information...
Ajoy Kumar Datta, Maria Gradinariu, Michel Raynal,...
We derive theoretical bit and frame error rate expressions for decode-and-forward (DF) collaborative networks containing M users, employing a variety of block codes over a Rayleig...
W. Guo, Ioannis Chatzigeorgiou, Ian J. Wassell, Ro...
This paper reports on refinements and extensions to the MathLang framework that add substantial support for natural language text. We show how the extended framework supports mult...
In order to address challenges and opportunities of engineering information systems for network-centric warfare, we have developed a prototype for trustworthy and sustainable oper...