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Our results, based on a kernel of model pores generated from GCMC simulations, are compared with, and shown to be different from, the results obtained from the conventional method.
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The kernel of this model is KAAPRO.
Declarative knowledge entities make up the kernel of task model.
The kernel of this model comes from expressing the coupled field as a sum of two linear polarization modes in the direction of the fiber principal axes.
The proposed method as well as the relevant techniques of data normalization and parameters optimization of kernel function model of support vector machine, is used in the structural failure function fitting.
For online-tuned controller, the Volterra kernels of the model are computed online by recursive least squares algorithm.
Generally, to update the kernels of Volterra model, the most commonly used method is the gradient adaptive algorithm.
Significant improvement of model kernel representation is observed, four improved kernels vs 15 original kernels, and the new methodology is justified by comparing the difference of the aerial image intensities between the full kernel representation and the retained kernels representation at sampling points.
The structuring procedure is the kernel of any data model design and development.
The PC and the proposed reduced-rank approaches are used here for implementing the third-order kernel of the Volterra model obtained in such an experiment.
Based on the efficient simulation kernel of SystemC and optimized model implementation, the simulation speed of IDEA1 is twice faster than NS-2.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com