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The tool was tested on a 7.5 kW motor for different load conditions and high levels of voltage unbalance, yielding to accurate results, and demonstrating its effectiveness for performing energy audits in situ on unbalanced voltages conditions.
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We estimate the performance of our parallel algorithm and demonstrate its effectiveness by comparing it with a recent algorithm for the same problem on star graphs (IEEE Trans. Parallel Distrib. Systems 8 (8) (1997) 803).
We discuss the concepts of this framework, compare it to other software and demonstrate its effectiveness for several demanding registration applications, highlighting its versatility and reliability.
Then, we use this XOR circuit as a component to design a hybrid memristor CMOS PUF circuit and demonstrate its effectiveness through extensive simulations of environmental and process variation effects.
While the displacement transformation is generic, here we implement it within an ensemble Kalman Filter framework and demonstrate its effectiveness in tracking stochastically perturbed vortices.
Finally, we propose the use of a multi-layered semantic frame structure and demonstrate its effectiveness in boosting overall performance.
Finally, example trajectories and results are shown to illustrate the algorithm and demonstrate its effectiveness.
The low-rank representation (LRR) was presented recently and demonstrated its effectiveness for robust subspace segmentation.
Two simulation examples are presented to verify the proposed approach and demonstrate its effectiveness.
We illustrate this technique in simulations and demonstrate its effectiveness in experiments on a DNA hairpin.
We describe an implementation of the tool and demonstrate its effectiveness.
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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