Sentence examples for matrices allowing a from inspiring English sources

Given the possibility of exposure to various metals by inappropriate use of some commercially available hygiene products, it becomes necessary to develop simpler and more cost-affordable procedures to quantify those analytes in different matrices, allowing a local quality control even for smaller producers and industries.

This method is easy to be numerically implemented and especially suitable for the analysis of anisotropic inclusions embedded in an isotropic matrix, allows a wide range of microgeometries of the composite and determination of the complete set of effective elastic properties.

In contrast to WSINV3DMT, the covariance matrix allows a manual selection of smoothing for each cell, which, e.g., is useful for influences of small-scale near-surface structures (Kelbert et al.2014).2014

This new matrix allows a rapid extraction of gene clusters present in more than α % of the genomes by removing edges with a value under the threshold and collecting the induced connected components.

It is shown that large-scale CD processes can be approximated as RCMs and then diagonalized by complex Fourier matrices, allowing analysis in terms of a family of SISO transfer functions across the spatial frequencies.

The QDC assumes that the classes are normally distributed with class specific covariance matrices, thus allowing a set of optimal discriminant functions to be obtained.

This capability will enable the engineering of the carbon matrix porosity allowing a blend of carbonised particle combinations to be tailored for maximum adsorption of inflammatory cytokines.

The coupling time and thickness variables formalism is presented in an elegant matrix way allowing a versatility and capability of the formalism to handle more general multilayered plates.

As a consequence, terms may be agglomerated into cohesive groups (clusters) causing the matrix fragmentation, allowing a better adjustment in the next steps.

Studying electroencephalographic (EEG) signals from their associated covariance matrices allows the construction of a representation which is invariant to extrinsic perturbations.

Then the set of autocorrelation matrices allows us to formulate a series of linear equations relating the outer products of the scaled steering vectors.