Sentence examples for identification of representative from inspiring English sources

The identification of representative soil moisture sampling sites is important for the validation of remotely sensed mean soil moisture in a certain area and ground-based soil moisture measurements in catchment or hillslope hydrological studies.

Indeed, a systematic process of sampling should be established to support the identification of representative samples from adequate sampling frames.

The main objective was the identification of representative and common perceptions in order to identify and develop interpretative patterns [46].

For this purpose, the identification of representative data quality problems and how they should be integrated in software verification activities (e.g., software testing) is essential.

Since the identification of representative clusters is based on comparing the membership of each class in the clusters, the number of normal and abnormal feature vectors should be the same in order to perform a fair comparison.

For each ligand, the process includes: (1) ligand preparation, (2) ligand topology creation and structure optimization, (3) identification of representative ligand-protein complex conformations from docking and clustering, (4) MD simulations, and (5) postprocessing and gathering of interaction energies.

This conservation could not be readily accounted for by shared functions between the genes and it is proposed that ctg1034 is located within a heterochromatic C-band region of deletion bin 3BL7 based on the identification of representatives of heterochromatin tandem repeats and presence of significant matches to chromodomain-containing gypsy LTR retrotransposable elements.

This procedure enabled the identification of seven representative WUI Situations within the 14,800 ha of WUI in the area.

Therefore, soil water states can be identified by using SOM and differentiation of wet and dry states enable identification of more representative benchmark sites.

A set of oligonucleotide probes for the hybridization of specific LSU rDNA D2 regions was developed for the identification of 10 representative harmful microalgae.

Through statistical analysis of the FCOV patterns for 20 single cells, the Hamming neural network is applied for identification of the representative FCOV pattern that matches most closely of the pattern of the arbitrary cell to be measured.