Sentence examples for method that divides from inspiring English sources

Using chromatography, a method that divides the molecules in a mixture based on charge or size, they separated out individual proteins from samples of the microbe.

This is a local sparsity-based method that divides the whole image into blocks and represents each block sparsely using some trained dictionary Among other advantages, one major advantage of such a method is the ease to train a small dictionary as compared to one large global dictionary This is achieved with the help of (2) which is equivalent to (4).

The present paper proposes a DVFS application method that divides multimedia services into video conferences, which are real-time services, and video streaming, which is a non-real-time service, and that reduces energy consumption in a simple manner while considering the constraints of service delays.

To address this issue, we employ a profiling method that divides the MSA into multiple bins, and compares kmer compositions of r to each bin.

For years, critics have dismissed the Dukan diet as a warmed-over version of early Atkins: a simple protein-centric method that divides foods into good and bad categories and relies on the claims of a medical doctor who is long on enthusiasm and short on scientific research.

We propose three methods: method 1 is a basic progressive sharing method that divides n secret images into t groups according to sensitivity levels.

By referring to their classification method that divided the age group into three age groups, our data also revealed the same characteristics (the data are not presented in the paper).

Clustering-based methods that divide vehicles into clusters by taking advantage of the layout-determined trajectories are considered as effective ways to facilitate communication in VANETs.

Quantum mechanical force fields (QMFFs) are a class of methods that divide a system into fragments, each of which are treated quantum mechanically but whose interactions are empirically modeled to recover high accuracy while remaining computationally efficient.

Algorithm 1 uses a recursive strategy, inspired by the binary partition method that successively divides the solution space at every call until the considered subspace is a singleton.

Second, I consider the stratification method that consists of dividing the propensity score in intervals such that within each interval, treated and control units have on average the same propensity score.