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The suitability of artificial neural networks for identification of the process variables and modeling is evaluated.
The relevance of the present formulation for turbulent spray modeling is evaluated and discussed, and a novel spray flamelet formulation is suggested.
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The use of advanced LES turbulence modeling was evaluated.
The discrete reference model is evaluated with M=1000 fibers.
6, the consumer surplus model is evaluated empirically.
Firstly, the performance of the single-channel model is evaluated and then the performance of the fusion model is evaluated.
The model is evaluated by experimental, analytical and numerical evidence.
In addition, adequacy of the nonlinear model is evaluated.
The performance of developed models is evaluated with statistical measures.
Our model is evaluated on Million Chinese Hotel Review dataset.
A general thermal model is evaluated for present test rig.
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