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The k-MSN method provided more accurate results than the SUR models.
The broadband evaluation method provided more advantages when compared with traditional dielectric tools.
As shown in the table, the proposed method provided more accurate height estimates while requiring only a walking human as the calibration object.
Overall, the IES method provided more robust and accurate vertical flux estimations than those given by the widely used analytical solution-based methods.
The L-curve method provided more accurate reconstructions than the generalized cross validation and the Morozov discrepancy principle at larger measurement distances.
Considering the unique temporal and spatial distribution characteristics, the DITI-based model combined with the fuzzy cluster analysis method provided more accurate classification of the rainfall distribution zones.
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This method provides more reliable assessment of classifiers which generalizes well to new data.
Using this method provides more fairness in the network among all users.
The method provides more reasonable inference about the parameters of models for hemodynamic data assimilation.
Thus, compared to earlier methods, our method provides more flexibility for solving surface modeling problems.
Thus, compared to earlier methods, this method provides more flexibility for solving CAD and CAM problems.
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