Sentence examples similar to based data reduction methods from inspiring English sources

The experimental data is analyzed using both LEFM-based and J-integral-based data reduction methods in order to study their suitability to analyze adhesive joints.

LEFM-based data reduction methods are shown to entail a relevant deviation in the fracture toughness results that heavily depends on the size of the fracture process zone.

In general, compression-based data reduction methods are convenient for reducing volume.

Data reduction methods for big data vary from pure dimension reduction techniques to compression-based data reduction methods and algorithms for preprocessing, cluster-level data deduplication, redundancy elimination, and implementation of network (graph) theory concepts.

Although compression-based data reduction methods are feasible for big data reduction, the processing overhead of de-compression introduces latency which lowers the performance of analytics algorithms in real-time environments.

Here we propose four Bayesian approaches to the problem based on commonly used data reduction methods.

The similarity-based big data reduction methods are good choice for network extraction and reduction.

Film elastic modulus as a function of film thickness is obtained from tensile tests of the film/substrate system and data reduction methods based on a proposed bimaterial model and finite element analysis.

The core technological support for big data reduction methods is based on multilayer architecture (see Fig. 1).

In addition to conventional machine learning algorithms, based on shallow learning models, deep learning is creating space as an option for big data reduction methods [81].

First, the methods are based on procedures proper to analysing latent variables [ 51], rather than the somewhat feeble data reduction methods such as PCA.