The traditional dilemma for performing network simulations with analog circuits is the great difficulty of handling the connectivity in hardware. The main problem is that hardware...
Quan Zou, Yannick Bornat, Jean Tomas, Sylvie Renau...
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
Generally, the real-time applications exchange information on dedicated network and the other traffic is supported by another communication system. The differentiation of these tw...
Jean-Philippe Georges, Eric Rondeau, Thierry Divou...
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Wireless sensor networks (WSNs) consist of a large collection of small nodes providing collaborative and distributed sensing ability in unpredictable environments. Given their unat...