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Heterogeneity was evaluated for each stratified analysis.
Relative inflammatory reaction intensity was evaluated for each groups.
To evaluate visibility, distinctiveness was evaluated for each image.
The count rate was evaluated for each acquisition and denoted respectively R1, R12, and R2.
Fire severity was evaluated for each site with the differenced Normalized Burn Ratio.
The response was evaluated for each outcome variable using linear mixed models.
The influence on the cycle COP in which the compressor runs was evaluated for each analysis.
Percent time spent in specified RCM ranges was used as a composite metric and was evaluated for each trial.
The performance of the peeling process was evaluated for each method by using the Taguchi method and compared.
These expected values were then subtracted from the measured running time results and the outcome was evaluated for each device and the CPU.
The performance of the proposed compression algorithm with respect to PRD, MAXERR, and CR was evaluated for each round and shown in Figure 4.
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