Sentence examples for combined methods for from inspiring English sources

Table 3 reports the calculated MSE of the combined methods for the simulated pressure signal corrupted by adding 2% noise.

Here, we present combined methods for constructing aptazyme-regulated expression devices (aREDs) through computational cotranscriptional kinetic folding design and experimental validation.

Geotechnical engineers of the TU Braunschweig are investigating combined methods for reducing that noise during the installation of an offshore wind farm in the German North Sea [2]. Figure 2 shows a schematic drawing of the different modes of wave propagation during offshore pile driving and details of the instrumentation of the pile.

The obtained results can be used to highly approximate the derivatives for the solution of Laplace's equation by the finite difference method, in some version of domain decomposition methods, in composite grid methods, and in the combined methods for solving Laplace's boundary value problems on polygons (see [10 13]).

Geotechnical engineers of the TU Braunschweig are investigating combined methods for reducing that noise, and in 2014 they had the opportunity to install measurement equipment for the investigation of dynamic pile deflections during pile driving into three of in total eighty monopiles (length: 60 m, diameter: 6 m) of an offshore wind farm in the German North Sea.

A more detailed review of combined methods for substitution selection has been published elsewhere[ 40].

As discussed previously, the performance is improved by the combined method for all reverberant conditions.

This paper reports a combined method for measuring isotherms of adsorption of vapors and gases of individual and multicomponent mixtures over a wide range of pressure and temperatures.

The importance of a low p value for target prediction was particularly striking with the fused fingerprints Ffp1 4 and the combined method, for which more than 75% of all correct predictions originated from predicted targets with p value ≤0.01.

Therefore, for populations similar to those population simulated in this study, the LHS-TDT was better than the simple regression method and the combined method for precision of estimated QTL position in granddaughter designs.

It then proposed two prediction methods Radial Basis Function (RBF) network and decision tree learning and their combined method for selecting effective siRNA target sequences from many possible candidate sequences.