Sentence examples for approaches on multiple from inspiring English sources

The final subsection focuses on the performance difference between 3D approaches on multiple conformers and our 4D FAPOA approach.

Consequently, a comparison of the 4D FAPOA with 3D-based appronches on multiple conformers represents an interesting comparison based on a equal source of information.

The low Ea shown by the tested microsatellite loci legitimate the application of this approach on multiple sets of strains.

They evaluated this approach on multiple software engineering models, unconstrained as well as constrained, and compared its performance with standard evolutionary algorithms.

The qualitative/quantitative evaluations of the approach on multiple databases and different SLs (GSL, ASL), the evaluation on the multi-subject IMM database, which have all shown promising results, as well as the practical examples and intuitive applications indicate that ESC is in a field that opens perspectives with impact on the analysis, processing and automatic annotation of SL videos.

Bee dance and communication Wedde et al. [60] presented a completely decentralized multi-agent approach on multiple layers where car or truck routing were handled through algorithms adapted from the BeeHive algorithms which in turn had been derived from honey bee behavior.

On the other hand, in small angle esotropia, an approach on multiple horizontal muscles might lead to an increased risk of postoperative exotropia.

Systematic assessment of ASEQ performance showed the efficacy and reliability of the approach on multiple datasets and identified potential cancer related ASE genes.

A particularly exciting avenue is the role of anastomosis in the maintenance of this genetic variation, which could be tested by an MLST approach on multiple Rhizophagus isolates.

To dissect the heterogeneity of ovarian cancer and identify histotype-specific alterations, we used an in silico hypothesis-driven approach on multiple datasets of epithelial ovarian cancer.

We used a whole-genome data-mining approach on multiple cohorts of breast tumours annotated for clinical outcomes to discover such factors.