Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
We propose a compositional approach to the dynamics of gene regulatory networks based on the stochastic π-calculus, and develop a representation of gene network elements which can...
Chemical computing models have been proposed since the 1980ies for expressing concurrent computations in elegant ways for shared memory systems. In this paper we look at the distri...
Thomas Meyer, Lidia Yamamoto, Christian F. Tschudi...
—This paper aims at answering the questions of how to enable cooperative communications in random access networks. And, since cooperation introduces extra transmissions in the ch...
Distributed applications mostly interact by exchanging messages. For this purpose the messages often need to be ordered. Since today more and more mobile devices are used message o...