Sentence examples for first stage applying from inspiring English sources

In the first stage, applying approximation (2.5), we get a nonlocal boundary value difference problem for obtaining { v k } k = 0 N.

The first stage applied the mixed integer linear program (MILP) formulation that yielded some initial values for the second stage.

The first stage applies PARALIND decomposition to the receiving data, thereby reducing the multiuser-multipath parameters estimation problem to a simple singleuser-multipath parameters estimation problem.

The first stages apply fast pixel-based features for the candidate search; the last stages use structure features for verification.

Finally, the third stage applies the reference prior approach to the marginal likelihood to obtain the reference prior for the parameter of interest.

This stage creates a new sequence containing a target with a seemingly faster velocity; the third stage applies the Dynamic Programming Algorithm (DPA) that tracks moving targets with low SNR at around pixel velocity.

The third stage applies user-specified filters to the candidate contigs and retains sufficiently confident candidates.

Then, the IE engine's second stage applies simple rules to these sentences to extract text fragments containing the target answer.

The second stage applied 12 degrees of freedom registration using an MNI152 amygdala mask to exclude voxels outside this subcortical region.

The first stage utilized a standard 12 degrees of freedom registration to the template and the second stage applied 12 degrees of freedom registration using an MNI152 subcortical mask to exclude voxels outside the subcortical regions.

The second-stage applies OLS to (3) where, estimating the peer effect α1.