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The vector is then used to correct the output video frame.
The optimum weight vector is then solved, and the order of the programs is determined.
Wave force vector is then treated as output of a linear filter driven by white noise.
A pseudo-force vector is then computed from the product of the sensitivity matrix and the frequency response vector.
Pseudo-force vector is then computed from the production of the sensitivity matrix and the frequency response vector.
The new training set (i.e, the original design matrix together with the new response vector) is then fed into genetic algorithm to perform variable selection.
The absolute value (magnitude) of a vector is then given by the square root of the sum of the squares of its components.
Relative amplitude and relative fluctuation index are extracted as a feature vector to describe the variation of EEG signals, and the feature vector is then fed into WNN for classification.
Vector is then collected from.
This vector is then pushed to the coordination service.
A perfusion vector is then calculated using Eq. 2.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com