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SIAMSC
2008
198views more  SIAMSC 2008»
15 years 6 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
WSC
2007
15 years 8 months ago
Modeling and simulation for customer driven manufacturing system design and operations planning
Agility, speed and flexibility in production networks are required in today's global competition in the flat world. The accuracy of order date delivery promises is a key elem...
Juhani Heilala, Jari Montonen, Arttu Salmela, Pasi...
CTW
2002
75views more  CTW 2002»
15 years 6 months ago
The Use of a Formalised Risk Model in NHS Information System Development
: Information Systems (IS) and technology are used extensively throughout the NHS, and the 1998 national information strategy, "Information for Health", sets out how the ...
M. A. Jeffcott, C. W. Johnson
IJCNN
2007
IEEE
16 years 15 days ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
VALUETOOLS
2006
ACM
113views Hardware» more  VALUETOOLS 2006»
16 years 4 days ago
Load prediction models in web-based systems
Run-time management of modern Web-based services requires the integration of several algorithms and mechanisms for job dispatching, load sharing, admission control, overload detec...
Mauro Andreolini, Sara Casolari