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The same trend is seen between the two pooling metrics for the paired analysis.
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Data is shown for both pooling metrics Iavg and Imin and for three different image processing techniques.
For datasets with low background levels, there is a smaller difference in the performance of the two pooling metrics.
Both pooling metrics generate similar mean residual error values when pooling σμ, but one dataset is not enough to make any generalizations about which pooling metric will perform best for all paired reference sample datasets.
Numerical experiments show that the morphological model combined with supervised learning techniques vastly outperform the simple melt pool metrics combined with supervised learning techniques (approximately 250% better performance for correctly predicting abnormal melt pools).
Yet they offer no reliable metrics for pooling or assessing public priorities.
We evaluated two different intensity-based metrics for pooling standard deviations.
We need new metrics for infinity".
Better metrics for social impact are essential.
But the metrics for success are shifting.
Unfortunately, finding useful metrics for assessing counterinsurgencies is not easy.
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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