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It has been demonstrated that this method outperforms other existing approaches.
Numerical examples show that our method outperforms other existing algorithms for dimensionality reduction.
Numerical tests show that the design and operation from the proposed method outperforms other solution approaches.
Finally, experimental results demonstrate that the CBIRVP method outperforms other existing methods under consideration here.
In addition, our proposed method outperforms other existing classification methods designed for focal liver lesion classification.
The experiments demonstrate that our method outperforms other approaches and is suitable for long-term operation of mobile robots.
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In the experimental discussion, the paper gives several reasons why the proposed method outperforms others.
Experimental results reveal that the new method outperforms others in terms of restored image quality.
From Figure 10q-x, the same conclusion can be drawn that the proposed method outperforms others methods.
We observe that, both in terms of specificity and precision, our method outperforms others.
The experimental results show that our method outperforms others using one of features calculated by existing methods (DC, BC, CC, SC, EC, IC, NC, PeC, WDC and ION).
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CEO of Professional Science Editing for Scientists @ prosciediting.com