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During verification experiments, the bend angle was predicted within an error range of 1.08 7.62%%.
During verification, the local binary feature vector of a test iris image is compared against the other nine vectors of the stored template and the minimum distance is chosen.
During verification, a new dynamic selection strategy based on the K-nearest-oracles (KNORA) algorithm and on Output Profiles selects the most accurate EoCs to classify a given input signature.
During verification to improve the accuracy of RNAseq, we found that the correlation between RNAseq and past expression microarray data could be increased by adjusting the 'Max multihits' parameter.
The minimum value of RTT is observed during training, while only high RTT values are observed during verification step.
Concatenating two 100-dimensional vectors, we describe each pair of vessel during verification experiments.
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During the verification of the grid system, the standard K-ε model is chosen.
During the verification stage, a distance is calculated from a query fingerprint to the centroid.
During the verification process, numerical optimization methods are employed to determine the unmeasurable physical parameters.
During the verification process, generating good test cases plays a significant role in determining the quality of the design.
During the verification process, all the witness nodes are either on the same xα-axis or the same yα-axis within the cell.
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