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The method obtained the overall classification accuracies of 99.97 and 98.73 %, respectively.
Our proposed ALBPS method obtained the best results when combined with global descriptors.
Using each figure as an input image, the proposed method obtained the results in Figure16b,d.
The CFD method obtained the aerodynamic coefficients of the vehicle at different speeds.
However, under same steps and space of x and y, the Barakat-Clark method obtained the better accuracy results.
First, an automatic meaningful words and phrases extraction method obtained the candidates of the feature words and phrases.
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So, the TSCC-based method obtains the 2-dB LSD inprovement in comparison with the MFCC-based method.
As a result, the proposed method obtains the maximum coding gain due to the space diversity.
The proposed method obtains the space diversity by using the multi-relay cooperative communications.
The method obtains the VTM with training data of multiple subjects from multiple view angles.
First, the proposed method obtains the virtual reference sequence by constructing the Hankel data matrix.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com