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We can see that all benchmarks show a considerable variation in execution times of tasks.
Some variation in execution time was observed for each imputation method with respect to other diversity estimation and crop data set, but the above trend of variation in execution time remained the same.
Although the curves for the individual helicity values may not be easily distinguished in Figure 8, it appears that all curves have similar slopes and that they are close to each other, i.e., the variation in execution time is below 50%.
Microcline exhibits a variation in symmetry.
Only a variation in processing.
Reasons for heterogeneity include different definitions of signs and symptoms, variation in executions of tests (such as faecal occult blood tests), and selection of populations based on particular symptoms or complaints.
In [35], Wang and Wu dealt with variations in execution rate by combining an SVM-based classification algorithm with DTW.
For example, Wang and Wu [35] also deal with variations in execution rate of actions using a human joint model.
However, such approaches will not work well for MPSoC systems that have a large number of execution scenarios and/or frequent run-time variations in execution scenario behavior.
Variations in execution rate of human actions have a negative impact in HAR [33].
By applying DTW, we gain robustness against variations in execution rates, which heavily affect HAR.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com