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We expected higher accuracy values for the cases where participants had a better comprehension of the design.
To make the comparison of agreement values for the cases with and without visualization easier, we adopted classification levels.
Then μ= f(X∗), where as before, X∗ represents the predictor values for the cases whose response values are to be forecasted.
Moreover, the radiative and nonradiative powers of bi-dipole interacting with GNR at these induced odd/even modes for cases of φ = 0/180° are nearly four times the corresponding values for the cases of a single dipole.
The total system values for the cases TG, SIC and MA schemes were calculated by adding the target system values corresponding to the allocated discrete rates b p k for k = 1,..., K.
Then the values for the cases were shifted by Φ - 1 (AUC 0 ) · σ 0 2 + σ 1 2 to obtain the true AUC (AUC0).
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On the left, we present values for the case of without visualization.
On the right, we present values for the case with visualization.
Table 1 shows the estimated energy consumption and execution time compared to the measured values for the case studies.
In the following section we focus on estimating these desired expected values for the case of thresholding.
For the static case, Subba Rao and Choudhury (2005) also presented the K pγ values for the case of an inclined backfill.
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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