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A series of features are analyzed to show their ability to detect road surface from background.
Then, each method is analyzed to show its advantages and disadvantages.
Also, an example is analyzed to show the use of the reported results.
Two different cases were analyzed to show the utility of the proposed approach.
A dielectric is analyzed to show the applicability of this procedure.
Some basic dynamical properties are analyzed to show chaotic behavior of the presented system.
The system performance is analyzed to show the efficiency and accuracy of the proposed system.
Some numerical examples are presented, solved and analyzed to show the performance of the proposed algorithm.
Finally, a biological example is analyzed to show the effectiveness of the proposed method.
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This flow-induced change of microstructures is analyzed analytically to show the relationship between spacing and the operating conditions.
Brown et al. (2014) analyzed LaMEVE to show that under-recording is a function of magnitude and the proportion of historic and geological data in each magnitude subset.
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