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Model performance has been evaluated by comparing the global modeling outcomes of numerous aerosol modules.
In this section, the effectiveness of WF algorithm has been evaluated by comparing the results of water-filling algorithm with that of simple fair distribution.
In previous sections, the simulation accuracy of IDEA1 has been validated by testbed measurements and its performance has been evaluated by comparing with NS-2.
In this article, several EDCA-based tuning algorithms have been evaluated by comparing their flow-level response in presence of rigid (e.g. VoIP) and elastic (e.g. P2P) flows.
The applicability of the proposed approach has been evaluated by comparing the ripples and power consumption with other state of the art evolutionary algorithms.
The effectiveness of the method has been evaluated by comparing the performance to that obtained with a neural network forecasting approach.
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The validity was evaluated by comparing academic levels.
The model can be evaluated by comparing its predictions to the measured values.
The measures are evaluated by comparing their correlation and ranking agreement with the subjective measure.
The grid independent solution was evaluated by comparing the in-cylinder pressure trends.
The performances of IDEA1 are evaluated by comparing with NS-2.
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been derived by comparing
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been evaluated by drawing
been evaluated by being
been proposed by comparing
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been approved by comparing
been undertaken by comparing
been implemented by comparing
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been verified by comparing
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com