Your English writing platform
Discover LudwigExact(13)
The power management algorithm manages the power consumption of the system, ensuring that system operation stays stable and functional despite variations in harvested energy.
Again, it is observed that the balancing algorithm manages to reduce QoE differences among services.
However, PC1DARMF algorithm manages to capture variations in signal geometries and performs much better than MSBA.
It is interesting to see that the CommonConfig algorithm manages to perform better than the MaximumFairness algorithm.
The proposed experiment proves that in more than 95%% of cases, the algorithm manages the system changes successfully.
The last experiment aims to show how the weighted algorithm manages to prioritize the most populated services.
Similar(47)
The n-MMC algorithm managed to achieve a prediction accuracy ranging from 70 to 95%%.
Our initial experiments show that the fairness-based with adjustment algorithm managed to obtain lower Pnet, Pavg and STD(Pi) than the propsoed fairness-based allocation algorithm.
Adopting the same instance, the DPE algorithm managed to estimate the location of every node, and the average location error is 2.56 m.
The P-DPA algorithm managed to achieve F-measure value of 72.51 % with SUB-2 and F-measure of 38.18 % with SUB-8.
CSC implemented the Perl portions of the algorithm, managed the input data, and collected the output data.
Write better and faster with AI suggestions while staying true to your unique style.
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