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By comparing with some conventional methods, we demonstrate the advantage of ours with typical motions.
Figure 1 shows drawbacks of some conventional methods for grayscale image enhancement.
Furthermore, the proposed scheme exhibits superior performance compared with some conventional methods including the best relay selection approach.
To evaluate the proposed method, the visual quality of the test image was compared numerically, and also with some conventional methods.
Some conventional methods, such as enlarging aperture of telescope, image motion compensation, and analog time delay and integration (TDI) technology are used to gain SNR.
A comparative analysis demonstrates that the proposed methodology leads to improved results when compared with some conventional methods exploited in fuzzy modeling.
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Compared with some other conventional methods, the results demonstrate that the proposed method possesses robust performance in detecting fault features of rotating machinery.
The probability of type I errors and the power of this method are compared with those of some other conventional methods by Monte Carlo simulation.
In continue the result of applying the proposed method is presented and it is compared by some other conventional methods based on accuracy, sensitivity and specificity of the classifier which is built on selected genes.
However, some farming uses conventional methods of agriculture that include the use of some harmful pesticides.
The rest of this paper is organized as follows: Section 2 describes some of the conventional methods.
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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