Sentence examples for based method where the from inspiring English sources

The algorithm is an implicit fictitious domain based method where the entire fluid-immersed object domain assumed to be an incompressible fluid.

The most popular algorithm is the gradient descent based method where the network back-forward errors are used to iteratively update the network parameters.

The ATPG algorithm is developed as a Boolean satisfiability (SAT) based method, where the Boolean network is transformed into a conjunctive normal form (CNF) expression and solved for satisfiability to find the drug vector.

The duration of the stimulus pulse will be set to 0.5 ms. The initial stimulus energy will be determined by an age based method, where the energy (E) is calculated as following [ 67]: Patient's age in years × 5 ≅ stimulus charge in mC.

The duration of the stimulus pulse in our study will be 0.5 ms. In the present study the initial stimulus energy will be determined by an aged based method, where the energy (E) is calculated as following [ 33]: Patient's age in years × 5 ≅ stimulus charge in mC.

We used the experimentally determined DHS sites reported by Sabo et al. in human B lymphoblastoid cells using a tiling array based method, where 2690 DHS were mapped into 1% of the human genome (ENCODE regions) [43].

This is a moving window based method where at each point (Raman shift) only a few intensity values (length of the window) around the point are used for estimating the baseline value at that point.

Some common methods employed for baseline removal of Raman spectra are discussed here: a) Median Window based methods This is a moving window based method where at each point (Raman shift) only a few intensity values (length of the window) around the point are used for estimating the baseline value at that point.

This estimate should be compared to the O NdomainlogNdomain) estimate for FFT based methods, where Ndomain is the total number of nodes in the lattice (so that in two dimensions, Nboundary∼N1/2domain).

This limitation is particularly important for spoligotyping and other CRISPR- based methods where it is virtually impossible to know whether the loss of multiple adjacent sequence spacers is due to a single or multiple evolutionary events.

Especially in artificial intelligent based methods where a training set is provided to e.g. the neural net or support vector machine algorithms often just add such a holiday dummy.