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» Modelling Variability for System Families
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JCNS
2010
100views more  JCNS 2010»
13 years 8 months ago
Morphologically accurate reduced order modeling of spiking neurons
Accurately simulating neurons with realistic morphological structure and synaptic inputs requires the solution of large systems of nonlinear ordinary differential equations. We ap...
Anthony R. Kellems, Saifon Chaturantabut, Danny C....
JUCS
2007
91views more  JUCS 2007»
13 years 9 months ago
Generative Instructional Engineering of Competence Development Programmes
: Competence development programmes are collections of units of learning and learning activities used to increase the overall effective performance of a learner within a certain ta...
Juan Manuel Dodero, Salvador Sánchez Alonso...
HICSS
2005
IEEE
115views Biometrics» more  HICSS 2005»
14 years 3 months ago
Exploring the Psychological Determinants of Perceived Ease of Use and Usefulness
The question of why individuals adopt a particular information system is an important issue in IS research. While extensive prior research has established that the Technology Acce...
Bryan A. Reinicke, George M. Marakas
FASE
2008
Springer
13 years 11 months ago
Engineering Service Oriented Applications: From StPowla Processes to SRML Models
Service Oriented Computing is a paradigm for developing software systems as the composition of a number of services. Services are loosely coupled entities, can be dynamically publi...
Laura Bocchi, Stephen Gorton, Stephan Reiff-Margan...
AAAI
1997
13 years 11 months ago
Model Decomposition and Simulation: A Component Based Qualitative Simulation Algorithm
Traditionally, qualitative simulation uses a global, state-based representation to describe the behavior of the modeled system. For larger, more complex systems this representatio...
Daniel J. Clancy, Benjamin Kuipers