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The methodology is evaluated by pilot applications from the automotive, aerospace, and railway domain.
The accuracy of the methodology is evaluated by self-validation in terms of uncertainty and compared with previous studies.
Finally, the accuracy of the proposed methodology is evaluated by an extensive parametric study, which shows that, in general, it provides a useful design tool.
The methodology is evaluated by the recorded temperature profiles throughout a TRT in a BHE (Borehole Heat Exchanger) monitored facility, which allowed the detection of a highly conductive layer at 25 meters depth.
The applicability of the controller design methodology is evaluated by a numerical example where a coupled periodic time-variant system built by a rigid rotor with four flexible blades is simulated.
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The proposed methodology was evaluated by undertaking face recognition under variable illumination and facial expressions.
The performance of the proposed methodology was evaluated by using several statistical validation parameters.
The methodology was evaluated by observing results that were consistent with previous research about the unmodified clay's behavior in aqueous suspensions.
Accuracy of the proposed methodology was evaluated by means of the recovery study in real samples and the analyzing certified reference material of the standard solution of Hg2+.
Our methodology was evaluated by means of a numerical case study.
The rationale for this analysis and methodology were evaluated by 8 study team members and discussed during research meetings throughout the analysis development process.
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