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All these variables are included in the performance model.
Additionally, only three parameters have been taken into account in the performance model.
This shows that there is an excellent scaling between core frequency and performance so we can use this scaling factor for core frequency in the performance model.
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In summary, the performance model consists of two sections.
The two different types of HLM were necessary because the outcome variable was binary in the participation models (students did or did not participate) and continuous in the performance models (RBA score).
While the phenomenon of partial interference in wireless networks has been widely observed as mentioned above, its incorporation in the performance modeling of such networks is still in its infancy.
In this way, the performance model can be used in runtime to disambiguate false positives from real hardware/software problems.
In these studies, however, the performance modeling was conducted by pooling all directional mouse movements.
In the link performance model, an AWGN-equivalent SINR (γAWGN) is obtained via Mutual Information Effective Signal to Interference and Noise Ratio Mapping (MIESM) [60 62].
In the proposed energy performance model, relative compactness has the most and orientation the least contribution.
From these selected features, we observed that there is not much improvement in the performance of models with different number of features [data not shown].
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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