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The algorithm was evaluated for content and face validity, and revisions were made accordingly after each evaluation (see below for details).
The algorithm was evaluated using simulated phantom, physical phantom and pre-clinical EPRI data.
The algorithm was evaluated under morning, noon and evening lighting conditions.
The algorithm was evaluated in a closed-set, speech-recognition-in-noise task.
The algorithm was evaluated by simulation, where two building fire emergency scenarios were simulated.
The algorithm was evaluated against the LIVE DMOS scores using the Spearman rank order correlation coefficient (SROCC).
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Finally, the algorithm is evaluated quantitatively.
The algorithm is evaluated for the spherical shallow-water equations.
The algorithm is evaluated through discrete-event simulations.
The performance of the algorithm is evaluated through simulation.
Firstly, the effect of the parameter ρ on the algorithm is evaluated.
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