Sentence examples for large set of techniques from inspiring English sources

This should be considered while studying a large corpus with a large set of techniques. it allows a direct spatial combination of hyperspectral data.

Their pioneering work with a large set of participatory techniques and innovative extension approaches has led to the realization that community participation and integrated (multi-sector) approaches are essential elements for success.

The aim of this article was the identification of the maximum of possible intermediate products using a large set of powerful analytical techniques, such as GC, HPLC, GC-MS, TOC analysis, and, especially, LC-MS provided with the new atmospheric pressure ionization (API) interfaces (APCI and ES).

Research involving N. crassa is well-supported by a large set of tools and techniques, namely the collection of deletion mutants (Colot et al. 2006; Dunlap et al. 2007) and its long history as a classical model organism for cell biology and genetics.

While a large set of mature design and analysis techniques for closed systems have been developed, their lifting to the open case is not always straightforward.

Recent large-scale oligo-capping of full-length cDNA techniques provided a large set of experimentally validated promoter data, which enable us to evaluate the links between CpG islands and promoters in much greater detail [ 31].

PCA is a technique that summarizes a large set of variables in a smaller set that retains the essential variance of the original data set [26].

A hierarchical clustering analysis is a commonly used exploratory technique to handle a large set of data whose interrelationships are elusive and not fully understood.

Thus, we propose a heuristic procedure based on the smoothing technique, which is tested on a large set of randomly generated instances.

We also describe the process of building our model which utilizes a large set of simulation traces and is based on general linear least squares approximation techniques.

Machine leaning techniques can automatically extract normal and abnormal patterns from a large set of training sensors data.