Sentence examples for the application of analytical methods from inspiring English sources

To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data prioritization, clustering, and selection mechanisms) with the application of analytical methods (e.g., temporal data abstraction, principal component analysis, and detection of events).

The main advantage of the proposed algorithm is a class of quadratic time complexity as compared to the cubic one for the classical frequency weighted method, the major feature resulting from the application of analytical methods for calculation of factorizations for controllability and observability Gramians.

Since the analytical methods based on the necessary conditions obtained using the Pontryagin's maximum principle and dynamic programming have less implementation ability, different numerical approaches have been devised to overcome the problems arising from the application of analytical methods [8, 9, 10, 11, 12, 34, 35, 40, 46].

The application of analytical methods that investigate regions in the genome rather than relying on individual SNPs is not a new concept.

The application of analytical methods employing tandem mass spectrometry or high resolution mass spectrometry is strongly recommended to confidently identify and accurately quantify BCMs in complex dairy product matrices.

Hence, there are two alternative approaches to model shale gas: (1) application of analytical methods to characterize the primary characteristics of shale gas (Ghanbarnezhad Moghanloo and Javadpour 2014), and (2) extending the conventional simulator to effectively model flow from shale gas reservoirs.

MCDA, an application of analytical methods to explicitly consider multiple criteria, is used as an umbrella term to describe a range of different methods.

In support of the general monitoring strategy, examples are given of successful applications of analytical methods for predicting metal uptake by plants and animals, for assessing the origin of metals in soils, as well as the leaching potential of soils and the extent of soil contamination.

It combines the application of analytical technologies (e.g. nuclear magnetic resonance spectroscopy (NMR), mass spectrometry (MS)) for metabolic profiling with multivariate statistical methods.

Nowadays, the application of analytical techniques is heading towards the reduction of the total analysis time and implementation of fully automated systems with the most sensitive analytical detection methods that enable quantification at a very low concentration of analytes.

Recent improvements in understanding have come from the application of experimental analytical methods and from increased knowledge of the mechanisms of inheritance e.g., from genetics.