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The major steps of the proposed SVD-pyramid model method are as follows: For an original image A, it is decomposed into a diagonal matrix B and another two orthogonal matrices using SVD.
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The effectiveness and feasibility of the proposed model method is finally verified with experimental data.
This reduced-order model method is described as modal domain reduction (MDR).
A variable selection procedure, TIM (two-input model) method is carried out by combining neural network design and statistical approaches.
One statistical model method is discussed in [14].
METHODS: The marginal structural model method was used to estimate causal modification of vorapaxar effect by use of clopidogrel over time.
It can be seen from Table 1 that the dynamic update for the model method is more effective.
The mixed model method was used to analyze the repeated ear swelling measurements over time according to the method provided by Wang and Goonewardene [ 62].
The walking model method is such a kind of graphical representation that can transform biological sequences into visual patterns based on different encoding strategies.
The probabilistic model methods are Bayesian reasoning, evidence theory, robust statistics, recursive operators.
We and others [ 3, 5, 6] have shown that mixed model methods are a powerful yet parsimonious approach for analyzing microarray data.
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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