Sentence examples for refinement performance of from inspiring English sources
The refinement performance of Cu 14P, Al 3P and Al 10Fe 3.2P master alloys on primary Si in A390 alloy at 720 °C was compared and the mechanical properties were tested.
The requirement of good refinement performance at relatively low temperature (⩽720 °C) has restricted the development of inoculant in low pressure casting industry.
Transmission map refinement: the performance of transmission map refinement is improved when a hazy image is used as a guidance image.
Transient Computational Fluid Dynamics (CFD) models were used to investigate the impacts of a variety of turbulence models, along with the effects of mesh refinement on the performance of two different vessel geometries.
Two rock solid iterations that were all about refinements, performance updates and stability.
Informants described how the refinement of performance monitoring methods had allowed departmental leaders to identify units with lower levels of sustainability of nursing practices changes and of patient outcomes.
Although such cosupport refinement technique improves the performance of ACoSaMP and ASP significantly, it requires the cosparsity l as a priori for an exact recovery of the target signal.
This could be due to the fact that the pores were filled by hydration products, which would result in pore refinement leading to improved performance of the concrete (Zain et al. 2000).
In Fig. 5, we show the performance of refinement algorithm with various inferred gene duplication and loss histories, compared to that with the true history.
Our experimental results confirm that our new algorithms provide significant improvements over the base inference algorithms, and support our analysis of the performance of refinement algorithms under different models of gene duplications and losses.
We first refine networks with the true gene duplication and loss history to test the pure performance of the refinement algorithms, then we present and discuss the results of refinement algorithms with several other gene evolution histories, which are more suitable for the application on real biological data.
