Sentence examples for parameters for identifying from inspiring English sources

On the other hand, in Table 1 the expectations for the latent parameters for identifying the outliers in the random walk RBDM are presented.

The best roughness parameters for identifying the crack propagation mode are average roughness, mean roughness depth and mean height profile peak (Ra, Rz and Rpm).

This work investigates the influence of coronal mass ejection (CME) on the time derivatives of horizontal geomagnetic and geoelectric fields, proxy parameters for identifying GICs.

Thermal weight loss pattern indicated that decomposition of the six formulations was a three-step process but showed distinct differences in the decomposition bands and peak temperatures providing possible parameters for identifying the formulations from only the TGA data.

In recent years, the MCMC method has been applied to sample the posterior distribution of reservoir parameters for identifying reservoir lithology and fluid on the basis of a Bayesian framework (Bachrach et al. 2009; Grana and Rossa 2010; Rimstad and Omre 2010; Ulvmoen and Omre 2010; Ulvmoen et al. 2010; Rimstad et al. 2012).

Therefore, we fine-tuned the parameters for identifying FRT-like sites based on the evolvability of Flp variants specific for genomic FRT-like sites, incorporated these parameters into the search engine of a newly developed bioinformatics package TargetSiteAnalyzer and performed genome-wide analysis of FRT-like sites in the human genome (NCBI build 36.3).

However, to date, there is no universally established radiological parameter for identifying critical spinal stenosis in these patients.

Water quality index (WQI) is an important parameter for identifying the water quality and its sustainability for drinking purposes (Subba Rao, 1997; Magesh et al. 2013).

In addition, the residual displacement mode shape is verified as an effective parameter for identifying damage occurring in plate-like structures.

In a previous publication, we demonstrated the superiority of k-LoCoH over symmetric bivariate Gaussian kernel methods [23], whether fixed or adaptive and using Silvermen's ad-hoc or the least-squares-cross-validation algorithm [14], [18]) for selecting the smoothing parameter, for identifying holes in UDs and estimating the areas of HRs.

Another important parameter for identifying conserved sequences among closely related species is the threshold for extraction of conserved sequences.