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In other words, the locally normalized error for each segment is a proper threshold.
The performance index (P LSF ) is computed for investigating the requirement of normalized error for different pairs.
The normalized error for the CDM model predictions is about 5%% in winter season, whereas the gravity model shows an error of 7%%.
The normalized error for convection diffusion model predictions is about 5%% in the winter season, whereas the gravity model shows an error of 7%%.
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It should be noted that in all three cases, the sum of normalized error measure for our automated method is less than the sum for manual initialization.
Normalized error rates for these datasets are shown in the last column of Table 5.
Using the total number of errors/variants counted per sample, we generated a normalized error score for each enzyme or library-preparation method.
The normalized error value of NPLI for effective efficiency varies between −0.23 and +0.09 with respect to LNE.
Normalized error rates (as defined in [ 17]) for our algorithm and for CompostBin are reported in Table 5.
The normalized error produced with the proposed method is shown for different SNR values.
For the remaining exercises the normalized error score did not differ (P > 0.05).
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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