Sentence examples for efficient for processing from inspiring English sources

At present, the R-SCHA technique is efficient for processing poloidal magnetic field measurements but cannot handle toroidal fields without some significant amount of development.

In this paper, we observe that hashing techniques can be used to represent object by compact binary code which is efficient for processing.

Hierarchical clustering provides higher quality on likelihood classification for small data sets, whereas k-means is less sensitive to outliers and more efficient for processing large sample sizes (>500) (Mooi and Sarstedt 2011; Abbas 2008).

Although all the above algorithms are efficient for processing the discrete sensory data, they cannot meet the complicated query requirements given by users and do not support to retrieve the critical data points in current WSNs since only discrete data were considered.

Different methods for examining and isolating FZT metacercariae in fish fry and juveniles are needed because compression of whole fish bodies is efficient for processing of small fry and detecting any metacercariae present.

Since the k-means and k-modes algorithms are efficient for processing large numeric and categorical data sets respectively, the combination of objective functions for measuring dissimilarity has been applied in the k-prototypes algorithm as a practical approach to extend the k-means-like algorithm for clustering large data sets with categorical values [ 7].

In clear, unmistakable language, the court demanded a better and more efficient procedure for processing gender-change requests on state-issued I.D.s.

The buffer stores each AABB's data in an efficient manner for processing by the subsequent compare operation.

The wavelet analysis is an efficient tool for processing non-linear signals, which are prone to display high frequency distortions.

We find that the use of event-level metadata provides an efficient scheme for processing events with many tracks.

It's different from conventional data processing software in that it distributes both the storage and processing over a set of nodes (which can scale to the thousands), providing a much more efficient system for processing large amounts of data.