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» Using Goal-Models to Analyze Variability
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COR
2007
109views more  COR 2007»
13 years 8 months ago
Assessing performance and uncertainty in developing carpet reverse logistics systems
TheUScarpetindustryisstrivingtoreacha40%diversionratefromlandfillsby2012,accordingtoamemorandum of understanding signed by industry and government officials in 2002. As a result...
Markus Biehl, Edmund Prater, Matthew J. Realff
CCE
2005
13 years 8 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...
BMCBI
2007
120views more  BMCBI 2007»
13 years 8 months ago
Phylo-mLogo: an interactive and hierarchical multiple-logo visualization tool for alignment of many sequences
Background: When aligning several hundreds or thousands of sequences, such as epidemic virus sequences or homologous/orthologous sequences of some big gene families, to reconstruc...
Arthur Chun-Chieh Shih, D. T. Lee, Chin-Lin Peng, ...
BMCBI
2008
98views more  BMCBI 2008»
13 years 8 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
JCP
2008
116views more  JCP 2008»
13 years 8 months ago
Sensor Location Strategy in Large-Scale Systems for Fault Detection Applications
Fault detection in large-scale systems is conducted by the use of sensors, thus the sensor location influences the performances of fault detection directly. As the scale of systems...
Fan Yang, Deyun Xiao