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NCC method showed the best vulnerability to these artificial and easily avoidable conditions in test environments.
As shown, the proposed method showed the best performance among 7 participating methods.
The proposed method showed the same recognition rate as "without ANNS" in Fig. 3 a.
Although the improvement is not significantly large, this method showed the best performance on both databases.
Our method showed the merits of easier preparation and more environmental harmony.
The Olsen-P method performed poorest while the DGT method showed the best correlation.
The sample obtained by pechini method showed the highest activity in the catalytic combustion of toluene.
The confirmation test of Taguchi Method showed the optimum designs are reasonable.
That method showed the results comparable to those of standard "snakes-" based algorithms, but it requires less computing time.
The obtained results with this method showed the superiority of the Fuzzy classifier, which achieved an accuracy of 98.1%.
The encapsulation method showed the most promising results for protein loading.
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