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» Reliability Prediction in Model-Driven Development
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CCE
2005
13 years 7 months ago
Model-based computer-aided design for controlled release of pesticides
In the field of controlled release technology for pesticides or active ingredients (AI), models that can predict its delivery during application are important for purposes of desi...
Núria Muro-Suñé, Rafiqul Gani...
TCAD
2008
115views more  TCAD 2008»
13 years 7 months ago
Statistical Thermal Profile Considering Process Variations: Analysis and Applications
The nonuniform substrate thermal profile and process variations are two major concerns in the present-day ultradeep submicrometer designs. To correctly predict performance/ leakage...
Javid Jaffari, Mohab Anis
BMCBI
2008
83views more  BMCBI 2008»
13 years 7 months ago
Prioritization of gene regulatory interactions from large-scale modules in yeast
Background: The identification of groups of co-regulated genes and their transcription factors, called transcriptional modules, has been a focus of many studies about biological s...
Ho-Joon Lee, Thomas Manke, Ricardo Bringas, Martin...
RV
2010
Springer
220views Hardware» more  RV 2010»
13 years 5 months ago
Runtime Verification with the RV System
The RV system is the first system to merge the benefits of Runtime Monitoring with Predictive Analysis. The Runtime Monitoring portion of RV is based on the successful Monitoring O...
Patrick O'Neil Meredith, Grigore Rosu
BMCBI
2008
107views more  BMCBI 2008»
13 years 7 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng