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» A System for Semi-Automatic Modeling of Complex Environments
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CIMCA
2005
IEEE
15 years 5 months ago
OntoBayes: An Ontology-Driven Uncertainty Model
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
Yi Yang, Jacques Calmet
CIMCA
2005
IEEE
15 years 5 months ago
Applying a Web-Service-Based Model to Dynamic Service-Deployment
Owing to the increase in both heterogeneity and complexity in today’s networking systems, the need arises for an architecture for network-based services that provides flexibilit...
Christos Chrysoulas, Evangelos Haleplidis, Robert ...
CGF
2004
173views more  CGF 2004»
14 years 11 months ago
Simulating and Modeling Lichen Growth
This paper presents a system for modeling lichens and simulating their propagation and growth in a virtual scene. Lichens colonize almost every substrate in nature and play an imp...
Brett Desbenoit, Eric Galin, Samir Akkouche
WOSP
1998
ACM
15 years 4 months ago
Poems: end-to-end performance design of large parallel adaptive computational systems
The POEMS project is creating an environment for end-to-end performance modeling of complex parallel and distributed systems, spanning the domains of application software, runti...
Ewa Deelman, Aditya Dube, Adolfy Hoisie, Yong Luo,...
ECAI
2010
Springer
15 years 28 days ago
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive
Abstract. Control engineering is a field of major industrial importance as it offers principles for engineering controllable physical devices, such as cell phones, television sets,...
Arjen Hommersom, Peter J. F. Lucas