Sentence examples for methods both with from inspiring English sources

Thus, for these experiments, we performed a sensitivity analysis, applying our methods both with no background kernel, and with one (based on all SNPs).

The performance of the new method is compared to the fictitious domain methods both with respect to accuracy and computational cost.

The proposed system value optimization methods both with and without the SIC implementation were tested using the Matlab and LabVIEW simulation packages with the parameters: a spreading factor of N=16, the full number of spreading sequences K f =2N, an additive white noise variance of σ2=0.02, and a gap value of Γ=0 dB.

As seen from the table, L0-Abs, BM3DDEB, and our methods both with BM3D and T SW have all performed better than IDD-BM3D in terms of SSIM for the first five scenarios, although IDD-BM3D gives the highest PSNR values as discussed above.

Specifically, the performance of younger adults was plotted as a function of the performance of older adults and then the best fitting theoretical effect size curve and associated effect size was determined using double variate squared error minimization methods, both with and without weighting each point by its sample size.

Quantification accuracy was compared with the standard calibration method both with phantom experiments and on patient data.

Experimental results obtained on real data collected for this specific task show the capabilities of the given method both with distributed microphone networks and with compact arrays.

In Fig. 3, a comparison is made between reconstruction results of the SIRT-FBP method both with and without the low-frequency adjustment.

This fact greatly limits the applicability of the method both with species of low specific activity and in case of surfaces of industrial specimens.

It was also seen that there is an increasing gain in the performance of our method over the prior method both with increasing SNR and with higher numbers of simultaneously supportable users K0.

For the proteomics dataset, RGIFE is the best feature reduction method, both with emPAI and ProteinProphet values.