Sentence examples for characteristics to recognize from inspiring English sources

The proposed model probabilistically allocates drivers (involved in a crash) into different injury severity segments based on crash characteristics to recognize that the impacts of exogenous variables on driver injury severity level can vary across drivers based on both observed and unobserved crash characteristics.

The important characteristic to recognize with noise is that it is random in nature and therefore the interference it produces is unpredictable.

Our experimental results show that faces and scene characteristics contain important information to recognize interactions between people.

The variations in burrow properties and their relation to sediment characteristics were also evaluated to recognize the most influencing variables of sediments that effects on crab burrows.

Furthermore, these semantic groups could provide a way to recognize characteristics more generically: a term in an article that is recognized as belonging to one of these groups can be highlighted as potentially relevant for describing a cohort or disease.

Implicit in the use of secondary structure characteristics and anticodon triplets to recognize tRNAs is the assumption that tRNA genes cannot change identity by simple nucleotide substitutions in their anticodon.

Our results revealed the chromatin structure characteristics of pre-miRNA genomic sequences, and imply potential mechanisms to recognize the characteristics, thus improving pre-miRNA cleavage.

If one assumes that tumor cells arise by a wide variety of mechanisms, all the while sharing a limited number of key characteristics, then apoptin simply needs to recognize one (or a subset) of these characteristics.

ANN have been found to be capable to recognize characteristic shapes in the fluid phase function and to provide a similar level of accuracy as classical dual-tip techniques.

Some have filaments or other characteristics that make it easy to recognize their value by touch.

Instead, higher-level characteristics are extracted and used to recognize maneuvers, which makes it easier to generalize the learnt model to arbitrary layouts.