Sentence examples for precision in identifying from inspiring English sources

This enables the method to achieve good robustness and precision in identifying salient objects in videos under various challenging conditions.

To increase the analytical precision in identifying structural forms of heavy metals, it is necessary to refine the methodology for analysis of mineral crystals.

A secondary purpose was to evaluate surgeon precision in identifying the true (anatomic) center of the ACL tibial footprint using arthroscopic visualization.

Using ontologies for the profile enrichment may provide a better precision in identifying related terms, since they are described by experts of each knowledge area.

The figure recording the CUGs predicting precision of test systems indicates that the parallel BPNN is of satisfactorily high precision in identifying the generators transient status during the post-fault period of power systems.

What the discussion shows is that underlying each move is one single issue, namely, that of precision – precision in the conceptualisation of the parameters, in the specification of their features, and precision in identifying their linguistic correlates.

Current standard experimental methodologies in hydro-acoustics rely on far-field measurements that enable the characterization of the spectral properties and the determination of the sound pressure level with good precision but fail in identifying accurately the flow phenomena at the origin of sound generation and radiation.

Alignment score >the length of shorter string - 1 & alignment ratio >= 0.5, or 2. Alignment ratio >0.91 Combined with this additional requirement, our program achieves high precision and recall in identifying related pathway names.

We suggest that this may be due to a lack of precision of this ecological variable in identifying individuals experiencing a more extreme degree of financial hardship.

Similarly, there is little doubt that UAVs offer extraordinary accuracy and precision in targeting identified targets.

The results show that the proposed algorithm has high precision in classifying identified pore types with average accuracy of 76.7% throughout studied oil field.