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A firm takes the results of Method 1 or Method 2, or a combination/average of the two, applies a proprietary change and presents it as original.
Here we use the Multiquadric (MQ) RBF to test and compare the results of method M3 with methods M1 and M2.
Roughly, it has the same applicability and limitations as method I, but the results of method II are slightly different from those of method I. Method III employs left-hand and right-hand cutoff frequencies as the constraints for filter design.
The results of method development and application will be described and discussed.
The results of method C in datasets 1 and 2 provide insight on the effect of reference population size on imputation error rates.
We report the results of method 2 as a check against our traditional approach (method 1) in the analysis with total PCB and IQ.
Similar(52)
In the second row of Figure 12, the results of Method-3 are presented.
Fuzzy weighted background subtraction increases energy levels as it is depicted in the results of Method-1 and Method-3 comparing with Method-2 and Method-4, respectively.
Obtained results are compared with the results of methods M1 and M2.
Figure 18b-d shows the results of methods proposed in [19, 15, 18], respectively.
Two extreme examples were contributed by the results of methods such as NORSnet and DISOPRED2 on the one side and IUPred and Ucon on the other side.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com