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All quantities are evaluated through the receiver behavioral model, described in [27].
Performances are evaluated through the behavioral model of the mixed-signal platform library, in which each component is embedded.
Fault detection and identification performances of the decision fusion system are evaluated through the Tennessee Eastman process.
The proposed features are evaluated through the classification experiment on a histopathological image database of breast lesions.
The effects of the confined pumping design are evaluated through the modeling to assess whether the commissioning can be accelerated.
Integrals in the phase space are evaluated through the weight function and the particle location in the 4-dimensional space.
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The estimation accuracy is evaluated through the MSE.
Standard error was evaluated through the 95% confidence interval.
The system was evaluated through the ASR task in the Reverb Challenge 2014.
The analgesic effect was evaluated through the count of abdominal constrictions.
The bio-oil quality can be evaluated through the chemical composition [1 13].
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