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In order to carry out the experiment, it was necessary to adapt the extremes of the values of the metrics mentioned above to our reference context which is very different from that Caldiera and Basili referred to.
maximum, average, and different percentile values of the metrics.
The actual values of the metrics can be found in the Additional file 4.
Here we analyze properties and values of the metrics for groups labeled through the editorial process.
The default values of the metrics were used for all the metrics.
Based on the numerical values of the metrics, energy efficient-cellular network designs are arrived at.
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Considering that degradation is associated to extreme values of these metrics, the thresholds are automatically adapted to the radio access technology of the dataset.
Mean value of the metrics are evaluated to all the images of background dataset.
Another case study was used to detail the action of the tool and the outcome was evaluated using the value of the metrics before and after the tool was applied.
Figures 5, 6, and 7 report the value of the metrics M1, M2, and delay for a 2D topology with random placement of nodes, increasing the network size and varying δ.
In the adjust mode (states A and D in Table 1), the collection interval T is incremented or decremented by a scalar update (κ>1) depending on the value of the metrics.
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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