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Thus, moving average methods were applied to remove short-term motion artifacts and to correct such fluctuations in the analyzed data (moving average window: 5 sec).
Moving average methods were used to exclude short-term motion artifacts in the analyzed data (moving average window, 5 s).
Cubic Spline, Rank Invariant, and Average methods were used for normalization (for details see BeadStudio Gene Expression Module User Guide [ 30]).
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Finally, the weighted average method, multi design optimization (MDO) technique, constrained single-objective optimization, and geometrical average method were employed to find the optimal configuration of the proposed inversion tube.
Therefore, the singular value decomposition method, the weighted K-nearest neighbors method, and the row average method were applied to estimate such missing values in this microarray database [ 32].
Animal models using genomic or pedigree relationship matrices and Bayesian model averaging methods were used for training analyses.
The CoVs for the three averaging methods were 6.7% for the "online" measures, 7.5% when three offline measures were averaged per epoch, and 10.4% for six offline measures at each epoch.
The optimization data which are obtained from the geometrical average method are tabulated in Table 7.
The reason to utilize the weighted moving average method is to reveal the uncontrolled action.
Moreover, the multiple-sampling average method is adopted to ensure the experimental results accuracy.
Therefore, the moving average method was used to filter the noise signal.
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