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» Modelling Variability for System Families
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111
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AUTOMATICA
2005
103views more  AUTOMATICA 2005»
15 years 3 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
127
Voted
TKDE
2010
150views more  TKDE 2010»
15 years 2 months ago
Prospective Infectious Disease Outbreak Detection Using Markov Switching Models
—Accurate and timely detection of infectious disease outbreaks provides valuable information which can enable public health officials to respond to major public health threats in...
Hsin-Min Lu, Daniel Zeng, Hsinchun Chen
134
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VC
2011
161views more  VC 2011»
14 years 10 months ago
A GPU framework for parallel segmentation of volumetric images using discrete deformable models
Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for solving medical image segmentation problems is still not fully exploited and re...
Jérôme Schmid, José Antonio Ig...
173
Voted
RE
2010
Springer
14 years 10 months ago
Integrating Preferences into Goal Models for Requirements Engineering
Requirements can differ in their importance. As such the priorities that stakeholders associate with requirements may vary from stakeholder to stakeholder and from one situation to...
Sotirios Liaskos, Sheila A. McIlraith, Shirin Sohr...
113
Voted
GTTSE
2007
Springer
15 years 9 months ago
Automated Merging of Feature Models Using Graph Transformations
Abstract. Feature Models (FMs) are a key artifact for variability and commonality management in Software Product Lines (SPLs). In this context, the merging of FMs is being recogniz...
Sergio Segura, David Benavides, Antonio Ruiz Cort&...