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The effect of outliers on accuracy estimation was evaluated by comparing deviations in the estimated and true accuracies for datasets with and without outliers.
The statistically reliable performance of gait-based age estimation was evaluated using benchmark algorithms on our dataset.
Agreement in baseline estimation was evaluated using the kappa statistic, the proportions of agreement and the intra-class correlation coefficient.
The accuracy of trajectory estimation was evaluated using real IMU data collected with an Xsense MTi-3 IMU at 100 Hz.
The sensitivity of the proposed analytical model to the shear transfer mechanisms degradation rules, as well as to the crack spacing estimation, was evaluated.
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The performance of channel estimation is evaluated after the estimated timing offset is obtained.
The effects of imperfect channel estimation are evaluated using a noisy estimate of the channel matrix H ^ instead of the real one H ^ = H + H σ (28).
Similar to the preceding analysis, the accuracy of frame rate estimation is evaluated by comparing the estimates at various PLRs with those at 0% packet loss, which is considered to be the ground truth.
Uncertainties in the bypass flow fraction estimation were evaluated.
The effect of the channel and integration period on the TOA estimation is evaluated.
The performance of the age estimation is evaluated by the Mean Absolute Error (MAE) metric.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com