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The performance metrics are evaluated over four crafted utility settings.
Performance metrics are evaluated to model possible embedded system implementations.
Two different metrics are evaluated: accuracy and maxF1.
Mean value of the metrics are evaluated to all the images of background dataset.
The ergodic metrics are evaluated by averaging over a large number of channel realizations and positions.
The performance metrics are evaluated with the growth of average data arrival rate (DAR).
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Lexical metric composition [24] was used, with the routing metrics being evaluated in the following order: AccLQ, H, CU i. Algorithm 1 compares two routes based on the respective metrics.
The two metrics were evaluated in three independent studies: a classroom-based evaluation with two groups of students, a qualitative feedback from three industry projects, and a quantitative evaluation using 61 industry projects.
Individual metrics were evaluated based on relative scores on two sets of evaluation factors.
Seven distinct landscape metrics were evaluated.
Then, the impact of QoS parameters on the performance metrics is evaluated.
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measures are evaluated
perspectives are evaluated
indicators are evaluated
considerations are evaluated
factors are evaluated
parameters are evaluated
attributes are evaluated
metrics are decoded
metrics are described
metrics are presented
metrics are measured
metrics are divided
metrics are used
metrics are collected
metrics are introduced
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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