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ISQED
2007
IEEE
151views Hardware» more  ISQED 2007»
15 years 4 months ago
Gate Level Statistical Simulation Based on Parameterized Models for Process and Signal Variations
We propose gate level statistical simulation to bridge the gap between the most accurate Monte Carlo SPICE simulation and the most efficient circuit level statistical static timi...
Bao Liu
JMLR
2010
157views more  JMLR 2010»
14 years 4 months ago
Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control
A complex modern manufacturing process is normally under consistent surveillance via the monitoring of signals/variables collected from sensors. However, not all of these signals ...
Michael McCann, Yuhua Li, Liam P. Maguire, Adrian ...
IJCNN
2006
IEEE
15 years 3 months ago
TempUnit: A bio-inspired neural network model for signal processing
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
Olivier F. Manette, Marc A. Maier
CMSB
2009
Springer
15 years 1 months ago
On the Use of Stochastic Petri Nets in the Analysis of Signal Transduction Pathways for Angiogenesis Process
In this paper we consider the modeling of a selected portion of signal transduction events involved in the angiogenesis process. The detailed model of this process contains a large...
Lucia Napione, Daniele Manini, Francesca Cordero, ...
IMECS
2007
14 years 11 months ago
Analysis of a Mixed-Signal Circuit in Hybrid Process Algebra ACPsrt
— ACPsrt hs is a hybrid process algebra obtained by extending a combination of two existing extensions of Algebra of Communicating Processes (ACP), namely the process algebra wit...
Ka L. Man, Michel P. Schellekens