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Finally, for similar memory requirements, the new method can more efficiently provide solutions with higher accuracy.
The results indicate that the proposed method can more precisely and reliably predict the slope deformation induced by excavation.
The experimental results show that compared with three traditional methods, the method can more accurately detect all onsets and offsets and has better robust on interference.
Compared with the kurtogram and protrugram techniques, the proposed method can more effectively extract signatures of multiple bearing faults even in the presence of strong background noise.
The comparison showed that the proposed detection method can more effectively identify single and multiple damage locations than the other two methods.
Since the region parameters can better represent the values of the evolving regions due to the better image homogeneity, the proposed method can more accurately segment various types of images.
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Therefore, the combination of three methods can more effectively deal with the optimization of chemical composition of materials.
Therefore, the methods can more objectively measure the inpainting effect.
This method can be more economical and more efficient than the alkali halite method.
The result indicates that our method can identify more functionally homogeneous modules with more diverse GO terms (see Section S7 of Supplementary material).
This method can construct more efficient group separation and generate more interpretive outcomes than the ordinary Partial Least Square Discriminant Analysis technique.
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