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It achieves up time through replication, so if one version of itself goes down, the next can take over.
Moreover, it achieves up to 7 dB improvement over the simulcast approach when the high and low bit-depth representations are 12 bits and 8 bits, respectively.
It achieves up to 13 dB of coding gain with symbol error rate (SER) 10-2, and up to 4 times the range of the data radio, rendering it more suitable to sensor networks.
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Further, it also achieves up to 21.25% improvement in power budget utilization while keeping the energy overhead negligible for best case scenarios.
ROS-DMA is intended to be used instead of L2 cache and it is a core component of PfeLib it achieves up to six times faster image processing as compared to using L2 cache.
From the figure, it is evident that N-PF algorithm achieves up to 35% gain compared with PF algorithm in all cases.
Ford says it achieves acceleration on par with the conventional Escape's 201-horsepower V-6 engine, but achieves up to 40 m.p.g. with much lower emissions.
In total, QM-EBRP achieves up to 35%% improvement.
SaskPower claims that the plant achieves up to 90% capture level when operational (SaskPower 2015).
As can be observed, Algorithm 2 achieves up to 30% more throughput compared to load-balancing.
JPC achieves up to 41% higher throughput compared to FCLM and up to 72% compared to eICIC.
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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