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The proposed optimisation method finds an optimal allocation of elastic materials which reduces the sound level on some fixed observation points.
Each method finds an estimate for the true ancestry, for every genotype in every individual.
Hence, the method finds an allele combination, which maximizes the number of reads they explain.
Further refinement is necessary to insure that the method finds an optimal or near-optimal warp that is consistent and replicable.
Our approach to dense tissue segmentation does not require standardisation across images; the method finds an optimal threshold for each mammogram independently from any other mammogram in a dataset.
To reduce the computational complexity, the proposed method finds an effective threshold of the significance of SNPs by comparing the error rates of the SNP combinations from the Bonferroni threshold, the p-value rank-based threshold and the p-value range-based threshold criteria.
Similar(54)
As the name suggest, CR (Community Ranker) method finds a value for each community that was found by Algorithm 1.
This method finds a broad range of applications in spectroscopy [9 12], collision-dynamics studies [13 26] and trap loading experiments [27 33].
The method finds a useful application in calculating the material balance of the interconnected cascade system with reflux and backmixing.
The linear least squares (LLS) method finds a best fitting linear model that minimizes the mean square error between the system output and the desired output.
Furthermore, our community detection method finds a large cluster, presented in Fig. 11, formed by users who advocate for the independence of Catalonia (hereafter ({rm Ind ^{rm{rp}}})).
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