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Finally, the power model obtained by the model transformation is transformed into a SystemC code using a model-to-text transformation.
In this model, transformation is associated with various modifiable and unmodifiable risk factors [4, 5].
Firstly, a model transformation is employed for an uncertain discrete system with time-varying delay.
Model transformation is a key concept in model-driven software engineering.
A descriptor model transformation is used to derive an advantageous bounded real lemma representation for the system.
At first, a novel model transformation is presented, where the event-triggered control system is reconstructed as a constant-delay system with extra inputs and outputs.
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Business requirement analysis, dependency mapping, and workflow pattern-based model transformation are the major components of this transformation procedure.
Built on metamodeling techniques two alternatives for model transformation are elaborated, namely, the traversal and the graph-rewriting approaches.
The concept of using a t-statistic with a Bayesian adjusted denominator after a linear model transformation was first proposed by Smyth et al. (26).
This difference between the two models could be explained by the fact that constitutive PyV mT-mediated transformation occurs during puberty as the ductal epithelial network progressively penetrates the fat pad, while in the MIC model transformation was initiated in an almost mature gland.
The definition of model transformations is usually based on meta-models describing the abstract syntax of languages.
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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