Sentence examples for population classification from inspiring English sources

For many of these objects, the kinematic data on velocities are the prime source of population classification.

And parallel population classification is adopted to design parallel mechanism for all sub-populations, which can keep the population diversity according to affinity.

Firstly, a vector function is proposed to balance the energy consumption and spectrum resources by optimizing population classification and crowding distance sorting.

The proposed CSA, namely adaptive chaos parallel clonal selection algorithm (ACPCSA), combines the benefits of chaos theory and parallel population classification to realize the population initialization and population update.

Figure 1 Population classification for biomass modeling in China.

Here our hypothesis is that functional interaction measured at fine-granularity sub-network scale can provide new insight into the neural mechanisms of neurological and psychological conditions, thus offering complementary information for healthy and diseased population classification.

Additionally, the data set provides the number of urban extents, their population and land area that intersect the LECZ, by city-size population classifications of less than 100,000, 100,000 to 500,000, 500,000 to 1,000,000, 1,000,000 to 5,000,000, and more than 5,000,000.

This approach avoids a priori population classifications, and instead estimates the shared population ancestry of individuals based solely on their genotypes assuming HWE and linkage equilibrium in ancestral populations.

This program estimates the shared population history of individuals based on their genotypes and geographic origin under a model that assumes Hardy Weinberg equilibrium and linkage equilibrium, thereby making no a priori assumptions regarding population classifications.

Data collection was part of the National Oral Health Survey, a representative cross-sectional study of 1951 11-13-year-old school children using a modified, stratified cluster sampling design based on population classifications of the Philippine National Statistics Office.

We detect period increase in all three components that may lend support to the Population I classification of this variable.