This article is a critical review of computational techniques used to model, analyse and simulate signalling networks. We propose a conceptual framework, and discuss the role of s...
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
—Recently, high-end reconfigurable computing systems that employ Field-Programmable Gate Arrays (FPGAs) as hardware accelerators for general-purpose processors have been built. T...
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...
Peshala V. Pahalawatta, Dejan Depalov, Thrasyvoulo...
We describe a general-purpose processor architecture for accelerating public-key computations on server systems that demand high performance and flexibility to accommodate large n...
Hans Eberle, Nils Gura, Sheueling Chang Shantz, Vi...