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Thus, a longer minimum search window is used in the MS approach as compared to [13] (cf. Section 5.2).
The originality of the proposed approach as compared to similar works that have been presented in Sect.
Additional computational efforts and resources required of the proposed approach as compared with conventional finite element analyses are minimal.
The result shows the significant improvement in surface finish with hybrid approach as compared to the Taguchi analysis.
The novelty in the presented approach, as compared to the most recent fuzzy ones, stems from its generality.
Statistical analysis indicates the superiority as well as robustness of the above approach as compared with the other optimization algorithms.
Simulation results affirm the effectiveness of the increasing-gain approach as compared with the high-gain observer.
Numerical evaluations are presented to demonstrate the effectiveness of our approach as compared to conventional DWMR protocols.
The resulting algorithm, named VQ_fk_nps, is our novel incomplete educational data clustering approach as compared to the algorithms K_nps and S_nps which have been achieved in [24].
Experimental work has been used to demonstrate the superiority of this approach as compared to the more conventional one such as the fast Fourier transform.
Experiments on simulated and benchmark datasets show the usefulness and the efficiency of the proposed approach as compared to other existing methods.
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CEO of Professional Science Editing for Scientists @ prosciediting.com