Sentence examples for high precision identification from inspiring English sources

Proximity to the object allows for high precision identification of all features and enables high resolution 3D point clouds to be created.

Our MAST Parser tool provides high precision identification of NLR gene sequences from every input format that is available from genome sequencing projects including contigs, scaffolds, pseudomolecules or chromosomes.

This paper presents research that investigated algorithms for high-precision identification of contextual information in location-aware engineering applications.

In recent years, GWAS, based on the genome sequencing and SNP chip technology, makes large-scale high-precision identification to the alleles and the variation which are widely distributed in natural groups of rice become reality (Huang et al. 2010; Zhao et al. 2011; Han and Huang. 2013).

There is a tendency for identification challenges due to inadequate forms of identification to provide high ultra-precision identification of large numbers of livestock.

A simple and inexpensive decision protocol based on BMI values proved to have high precision and specificity for identification of preschool children at risk for obesity persisting into adolescence, while the sensitivity was low especially for boys.

This procedure enabled the sequencing of 5′ RNA ends with a very high precision and thereby the identification of probable TSSs.

Since 1998 the HERMES RICH detector has been operated and it has provided the particle identification with high precision.

A main advantage of our method is the high precision to automatically identify new relevant cases, with the possibility to use it as a complement of the manual identification of case reports.

We developed a fully automatable assay technique, termed quantitative image cytometry (QIC), which integrates a quantitative immunostaining technique and a high precision image-processing algorithm for cell identification.

This empirically indicates high precision of microarray measurements, allowing successful identification of true transcript variation over platform-specific noise for many genes, even with low inter-sample variation.