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We further validated the performance of sets of AIMs by k-fold cross-validation.
Finally, we validated the performance of the proposed methods in inferring the synaptic conductances.
We validated the performance of the method on real images of pharmaceutical pellets acquired during the coating process.
In this section, we have validated the performance of our proposed algorithm for ANC of impulsive noise.
We validated the performance using real-production data from a 32 nm device.
Finally, numerical simulations validated the performance, robustness and practicability of the developed control scheme.
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In this section, we validated the performances of SWA in reference genome datasets of three species in Materials.
Several numerical examples are performed to validate the performance of the proposed algorithm.
We established training and validation data-sets to validate the performance of the established and new population-specific thresholds.
For this reason we performed extensive experiments to validate the performance of multiplex RT-qPCR.
To validate the performance of the method, some simulations were performed.
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