An example of verification of pattern estimation for latent 33-profility in the chicken Apo A-IV coding region is shown in Fig. 4.
To check a robustness of the latent 33-profility pattern estimation found for the coding regions of apolipoproteins the damages in different consecutive segments of 33 bp have been simulated.
It demonstrates that the accuracy of the pattern estimation is barely affected by the compression distortion.
In terms of reflectivity pattern estimation efficiency, [14] proposes a procedure that the computational time increases dramatically with the number of targets.
The numerical results show that GO-based reflectivity pattern estimation provides a sufficiently accurate computation of the SAR raw data in time-critical applications.
Advantages of statistical models include the ability to identify changing patterns, the estimation of parameters, uncertainty analysis, and diagnostic checking (Mishra and Desai 2005; Wang et al. 2013).
Details about the nanoparticle patterns, an estimation of GPIbα densities, time-lapse images (RICM, DIC) of neutrophils on biomimetic and control surfaces, pseudopodia characterization, and RICM movies of neutrophil adhesion maturation.
Modeling could have included hydrogeologic assessments of contaminant delivery through tapwater, assessments of airborne contaminant spread based on air sampling and wind pattern data, estimations of soil contamination based on soil sample data from representative sites within the affected area.
In this section, we show how the derivations of periodic patterns can be used do create the complex periodic patterns and how to use such patterns for the estimation of future workloads.
In contrast the hash time for the adaptive hash algorithm grows very slowly with regard to pattern length, because estimation of the expected hash function entropy allows Murasaki to predict the point at which adding additional inputs no longer provides significant gains for the current hash key size.
