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This modeling approach reduces the modeling uncertainty.
In contrast, the procedural modeling approach reduces the geometrical aspect during modeling in favor of the structural and semantic information (including uncertainty).
Finally, this modeling approach reduces dependencies on empiricism for the calculation of multiscale reaction devices.
The cost of the above systems can be regarded as taking preventative measures against the risk of future economic loss, and the modeling approach reduces the uncertainties in associated decision making.
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In vitro determination of silibinin clearance parameters would provide a true bottom-up modeling approach and reduce complexities inherent to pharmacokinetic data from patients with hepatic disease.
An exactly reduced version of the crosstalk model was generated using the reduced order modeling approach we introduced above.
A new Proper Orthogonal Decomposition (POD) based reduced order modeling approach for temperature field calculation in multi-scale convective systems is presented.
A reduced-order modeling approach for natural gas transient flow in pipelines is proposed.
A novel reduced-order modeling approach to represent crystallographic texture in polycrystals is presented.
For transfer function models, the modified approach reduces the computational load of an adaptive controller by mimicking a large prediction horizon with a smaller one plus a weighting at the steady state.
As compared to the traditional approach of 4D/5D BIM model generation, the proposed semi-automated approach reduces the model generation time by 58.8% in the illustrative example.
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