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The reactor model selection and mathematical modeling are demonstrated for interaction of toluene with H-ZSM-5 catalyst measured in both types of setups.
The advantages of using knowledge based neural network modeling are demonstrated with two microwave modeling applications such as characteristic impedance modeling of thin-film microstrip line and parametric modeling of the differential via holes.
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The numerical modeling is demonstrated to be able to simulate the low-stretch flame structure.
In this work the concept of multi-scale modeling is demonstrated.
Secondly, the usefulness of latent variable modeling was demonstrated.
Furthermore, the practical utility of the additional information provided by the bootstrap model selection procedure in prognostic modeling is demonstrated.
Computational advantages of the revised HF model are demonstrated.
Successes of numerical simulation models are demonstrated through specific examples.
The shortcomings of the existing models are demonstrated.
The capabilities of the impedance model are demonstrated.
These models are demonstrated to be effective for PolSAR image segmentation in [5, 7 10].
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