Sentence examples for computation for the next from inspiring English sources

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After which the current CH informs n CA to initiate the PSO computation for the next round of cluster head selection.

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We carried out this computation for the 2,338 genes that were represented in both the platelet transcriptome and the platelet proteome and observed a very weak correlation between the two: for RNA-seq the Spearman correlation equaled r = 0.311 (p-value = 2.2E-10 2.2E-10r microanday data r = 0.312 (p-value = 2.6E-16).

The p-value computation for the RV coefficient included 5000 permutations and 10000 permutations for the Mantel test with Spearman correlation.

2006 PGAS Performancee and Productivity Opportunities Using Global Address Space Programming Models," PetaScale Computation for the Geosciences Workshop, San Diego Supercomputing Center, April 5, 2006.

Dr. Krishnamurthi helped create "Introduction to Computation for the Humanities and Social Sciences" more than a decade ago because he wanted students "early in their undergrad careers to learn a new mode of thinking that they could take back to their discipline". Capped at 20 students, the course now has a waitlist of more than 100.

His pioneering work on theoretical computation in the 1930s laid the way for Turing himself, von Neumann and others to create the computer industry as we know it.

Another challenge emphasized by the report is handling the exponential growth of data generated by the ever increasing number of devices and sensors, as Moore's Law — which governed the rapid growth of computation power and storage for the past 40 years — is slowing down.

From ten processing cores and up, the computation for smaller images, 50×50 and 100×100, had a reduced speedup, probably due to the overhead of creation of threads only to process a limited amount of data.

This paper reports the complex computation of the 4D radiometric reference for the 0.9 2.5 μm channel.

Table 6 and Fig. 12 show the comparison of average computation time taken by various algorithms for the TID2008 database from 75to95%5% noise densities.

To compare the performance of these pre-processing approaches, we have selected the ECBDL14 dataset that was used at the data mining competition of the Evolutionary Computation for Big Data and Big Learning held on July 14 , 2014 in Vancouver Canadaa), under the international conference GECCO-2014 [67].

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