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The results of various fusion techniques are extracted and then they are again fused by implementing a hybrid method presenting better quality results.
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Results demonstrate that DCSSR method presents better quantitative perception abilities for sucrose/quinine tastants than SR.
Test results evidently revealed that, least squares regression method presents better performance than other methods selected in the investigation.
Furthermore, the proposed method presented better results for the majority of the tested data sets compared to other algorithms.
Based on the results obtained in this work and the criteria cited before, we can see that the proposed method presents better results than the INC algorithm.
Only for electrodes prepared with small TiO2 nanoparticles SILAR method presents better performance than CBD, indicating that the small pore size disturb the CBD growth method.
It was found that the proposed method presented better results considering the response in terms of the arithmetic means of the peak areas.
It can be stated that this method presents better performance than those regarding the main conventional techniques such as wavelets and neural networks in the presence of noise.
The Equivalent TAR method presented better agreement with the Monte Carlo results for the 2×2 cm2 and Batho, Modified Batho, equivalent TAR and AAA methods for the 10×10 cm2 field size.
Notice both methods presented better results than the baseline approach.
Regarding the optimized condition, it was observed that combination of PLD and MM methods presents better outcomes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com