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The database schema has been normalized into third normal form to avoid storage of data with logical inconsistencies.
Each sample of all datasets was then separately normalized into z-scores using the Sleipnir tool Normalizer [ 33].
After this activity normalization, PET image data were non-linearly spatially normalized into Montreal Neurological Institute (MNI) space using the SPM5 standard PET brain template.
(3) All images were normalized into Montreal Neurological Institute (MNI) stereotactic space with the normalized images modulated to correct volume changes by the Jacobian determinants.
Here, the energy consumed in movement is normalized into communication.
Images were realigned with the first as reference and stereotactically normalized into MNI space.
All the samples were normalized into the size of 64 ×64 pixels and flipped horizontally.
In this research, the available data have been normalized into the range of −1 to 1.
This image is then warped into perspective and normalized into a specific size.
The scores are finally normalized into [0,1] domain using the sigmoid function.
where α is a constant in the range [0, 1] and e Lab is normalized into the range [0, 1].
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CEO of Professional Science Editing for Scientists @ prosciediting.com