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» Quantitative analysis of static models of processes
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DATE
2010
IEEE
178views Hardware» more  DATE 2010»
15 years 4 months ago
Circuit propagation delay estimation through multivariate regression-based modeling under spatio-temporal variability
—With every process generation, the problem of variability in physical parameters and environmental conditions poses a great challenge to the design of fast and reliable circuits...
Shrikanth Ganapathy, Ramon Canal, Antonio Gonz&aac...
APN
2006
Springer
15 years 3 months ago
ArgoSPE: Model-Based Software Performance Engineering
Stochastic Petri nets (SPNs) have been proved useful for the quantitative analysis of systems. This paper introduces ArgoSPE, a tool for the performance evaluation of software syst...
Elena Gómez-Martínez, José Me...
BMCBI
2007
167views more  BMCBI 2007»
14 years 11 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
CHI
2009
ACM
16 years 12 days ago
Leveraging open-source software in the design and development process
This paper presents a case study of the NASA Ames Research Center HCI Group's design and development of a problem reporting system for NASA's next generation vehicle (to...
Collin Green, Irene Tollinger, Christian Ratterman...
BMCBI
2011
14 years 3 months ago
A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...
Alfredo A. Kalaitzis, Neil D. Lawrence