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The upper-level ontology for biosimulation models is used to facilitate the integration between modelling frameworks and must accommodate the types of entities occurring in these frameworks.
A library of tendency models is used to increasingly bias bioreactor operating conditions towards an optimum.
The output from the numerical models is used to construct mathematical prediction models or response surfaces.
Spatial clustering of high density bins using mixture models is used to detect flaws.
Computational Fluid Dynamics (CFD) coupled with semi-empirical aeroacoustic models is used.
This set of models is used to derive a nominal plant and an uncertainty set.
RICE, alongside other models, is used by the U.S. Environmental Protection Agency to determine the potential effects of different climate policies.
A discrete form for each of the given spectrum models is used to specify the incident wave conditions.
A simulation model with MAC and physical layer models is used to study interlayer interactions and their performance implications.
Here a combination of GOBF-ARMA models is used to catch and represent the dynamics of the RDC.
A TS fuzzy system with local models is used to obtain a global model of the studied plant.
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