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The algorithm aims to pinpoint nodes that connect different communities at a reasonable computational cost.
The algorithm aims to achieve a system-wide optimization based on the user's preferences.
The algorithm aims to produce a good approximation of the entire Pareto front of the problem.
The algorithm aims to produce a uniform lay-up of composite lamina, without gap and overlap between subsequent tows.
Meanwhile, the algorithm aims to maximize the excess generated power by the HPVDS that may be injected into the distribution network.
The algorithm aims to put more links to sleep without affecting the load balancing requirements.
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The algorithm aimed to make balance between VMs' performance and overall energy consumption.
The algorithm aimed to estimate the prevalence of real-world flu cases based on Google search queries trained on historical data about both.
Next we present the evaluation of SINR_CMM, the algorithm aiming to detect attacks caused by jammers operating on NACs or IACs.
The algorithm aimed to achieve glucose levels between 5.8 and 7.3 mmol/L and adjusted the actual level depending on fasting versus postprandial status, preceding glucose levels, and the accuracy of predictions made by the compartment model.
The algorithm aimed to achieve glucose levels between 105 and 130 mg/dL and adjusted the actual level depending on fasting versus postprandial status and the accuracy of model-based glucose predictions.
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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