Sentence examples for developing a computational technique from inspiring English sources
The aim of the present paper is that of developing a computational technique, based on a fast converging, iterative, modal approach solution of a model which is partially uncoupled.
In this article we develop a computational technique, based on an optimization approach to the problem of locating the zeros of R(k).
In the present work, we develop a computational technique to approximate the changes of phase in temporal series associated to electric signals of muscles which perform activities at three different levels of intensity.
Esmaeili et al. [7] developed a computational technique based on the collocation method and Muntz polynomials for the solution of fractional differential equations.
To further validate this hypothesis and test if similar versions apply to other cancers, we developed a computational technique identifying in an unbiased manner coordinatedly overexpressed genes associated with a phenotype (such as transition to a particular stage).
We have developed a computational technique for the identification of Pfam protein domains and CAZy families that are distinctive for microbial plant biomass degradation from (meta- genome sequences and for predicting whether a (draft) genometa- genomeed or uncultured microorganisequenceses andlant biomass-degrading organism.
Subsequently, the main objective of this paper is to address this problem by developing a new computational technique.
This paper develops a novel computational technique to define and construct manifold splines with only one singular point by employing the rigorous mathematical theory of Ricci flow.
The objective of this study was to develop a practical computational technique that simulates progressive damage growth in the vicinity of the crack tip in a manner that allows the prediction of failure over a wide range of crack sizes.
To overcome these challenges we have developed a new computational technique, quasi-anharmonic analysis (QAA).
We developed a novel computational technique for network-based analysis of case-control gene expression data.
