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It's a solid combination that offers up a fair variety of different configurations, so you can adjust the height according to your set up – though getting it to stay put at its tallest height does require a bit of a balancing act, but once you've mastered that, it will stay put.
This second configuration allows a fair comparison with the rest of the systems submitted.
We carry out a land valuation, to ensure that the final configuration is a fair deal for each and every household.
Note that in order to make a fair comparison among the different spatial configurations, different modulation alphabets are used.
Thus, for making a fair comparison of the algorithms, we choose configurations where γ ≅ 1.
While the feed-forward configuration improves performance, we found a fair amount of sensitivity with respect to model mismatch.
To assure a fair comparison, we evaluated the optimized sensory-only configurations as if they were based on the full microstate-transition matrix tm.
Whatever the configuration, you'd suggest they're a fair chance here.
Extensive model-based optimizations were conducted to provide a fair comparison between all the low GWP candidates by selecting optimal configurations.
The proposed unified optimization framework allows for a fair performance comparison of different scheduling rules, different allocation strategies, different MRT/MRC-based MIMO configurations, and different traffic scenarios.
To make a fair comparison, this feedback scheme was applied for both the SU-MIMO and MU-MIMO transmission configurations.
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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