Sentence examples for data inversion method from inspiring English sources

The two stress fields were estimated by applying the CMT data inversion method (Terakawa and Matsu'ura 2008) to each dataset.

(v) A geodetic data inversion method is applied to the synthetic data and the slip deficit rate distribution on the plate interface is estimated.

Then, the point-by-point data inversion method is employed to verify the accuracy of the reduction of band gap, as shown in Fig. 7b.

For the subducting plate interface, Yoshioka et al. (1993) developed a geodetic data inversion method that uses the interseismic crustal deformation rate to estimate the interplate coupling distribution.

However, the geodetic data inversion method has a poor resolution near the trench area because of the large distance from the observation network.

Fig. 7 Plots of (αE 1/2 vs. E for TiO2 ultrathin films of a 600 cycles caculated by the F-B dispersion model, b 600 cycles caculated by the point-by-point data inversion method, c 500 cycles caculated by the F-B dispersion model, and d 300 cycles caculated by the F-B dispersion model.

Using these displacement data, we performed the inversion method devised by Yabuki and Matsu'ura (1992) to estimate the fault slip of this sequence of earthquakes and postseismic events on the plate interface.

The approximate Moho depths, based on the VMM theory (Sjöberg, 2009, equation 50), which are needed for initiating both Sjöberg's direct solution with terrestrial data, and the nonlinear inversion method, are presented in Fig. 1(b).

In the annotation method, the provenance data is stored as annotations about the data, in contrast to the inversion method, which uses techniques to invert queries that are used to obtain products in order to reach the source.

Finally, an adjoint field method of data inversion, developed in parallel for solving the fully nonlinear inverse problem for electrical conductivity imaging (e.g., for mapping underground conducting plumes), uses this code to provide solvers for both forward and adjoint fields.

From there, reminiscent of the technique used in SPIA (Tarca et al., 2009) of combining two dimensions of data, we used their "normal inversion" method to combine the DESeq2 adjusted P-value and the Fatiscan adjusted P-value for each miRNA.