Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
11
click to vote
ASM
2010
ASM
favorite
Email
discuss
report
257
views
Computational Biology
»
more
ASM 2010
»
Formal Analysis in Model Management: Exploiting the Power of CZT
13 years 2 months ago
Download
www.jamesrobertwilliams.co.uk
James R. Williams, Fiona A. C. Polack, Richard F.
Real-time Traffic
ASM 2010
|
Computational Biology
|
claim paper
Related Content
»
A Formal Framework for Modeling and Analysis of SystemLevel Dynamic Power Management
»
Predictive models for multimedia applications power consumption based on usecase and OS le...
»
A Hierarchical Distributed Control for Power and Performances Optimization of Embedded Sys...
»
QPME 20 A Tool for Stochastic Modeling and Analysis Using Queueing Petri Nets
»
Input output analysis of power control in wireless networks
»
Using a Formal Language Constructs for Software Model Evolution
»
Modeling and Analysis of Interactions in Virtual Enterprises
»
Buffer management for multiapplication image processing on multicore platforms Analysis an...
»
Using probabilistic model checking in systems biology
more »
Post Info
More Details (n/a)
Added
10 Feb 2011
Updated
10 Feb 2011
Type
Journal
Year
2010
Where
ASM
Authors
James R. Williams, Fiona A. C. Polack, Richard F. Paige
Comments
(0)
Researcher Info
Computational Biology Study Group
Computer Vision