Nonparametric belief propagation (NBP) is a well-known particlebased method for distributed inference in wireless networks. NBP has a large number of applications, including coope...
Vladimir Savic, Henk Wymeersch, Federico Penna, Sa...
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
In modern technologies, process variations can be quite substantial, often causing design timing failures. It is essential that those errors be correctly and quickly diagnosed. In...
The paper attempted the recognition of multiple drivers’ emotional state from physiological signals. The major challenge of the research is due to the severe inter-driver variat...
The use of a single pass/fail threshold for IDDQ testing is unworkable as chip background currents increase to the point where they exceed many defect currents. This paper describ...
Peter C. Maxwell, Pete O'Neill, Robert C. Aitken, ...