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FPL
2007
Springer
106views Hardware» more  FPL 2007»
14 years 1 months ago
Monte Carlo Logarithmic Number System for Model Predictive Control
Simple algorithms can be analytically characterized, but such analysis is questionable or even impossible for more complicated algorithms, such as Model Predictive Control (MPC). ...
Panagiotis D. Vouzis, Sylvain Collange, Mark G. Ar...
CISIS
2010
IEEE
13 years 5 months ago
Modeling of Stress-induced Regulatory Cascades Involving Transcription Factor Dimers
Regulatory cascades consisting of stress-induced gene modules and their transcriptional regulators were recently identified and quantitatively modeled using Artificial Neural Netwo...
Maria Manioudaki, Panayiota Poirazi
VTS
2005
IEEE
84views Hardware» more  VTS 2005»
14 years 1 months ago
Resistive Bridge Fault Model Evolution from Conventional to Ultra Deep Submicron Technologies
We present three resistive bridging fault models valid for different CMOS technologies. The models are partitioned into a general framework (which is shared by all three models) a...
Ilia Polian, Sandip Kundu, Jean Marc Galliè...
ECBS
2005
IEEE
162views Hardware» more  ECBS 2005»
14 years 1 months ago
Architecture Rationalization: A Methodology for Architecture Verifiability, Traceability and Completeness
Architecture modeling is practiced extensively in the software industry but there is little attention paid to the traceability, verifiability and completeness of architecture desi...
Antony Tang, Jun Han
BMCBI
2007
139views more  BMCBI 2007»
13 years 7 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek