The Behavioral Pattern Separation-Object (BPS-O) is a visual recognition memory test designed to tax pattern separation [ 46].
The spectrum is then analyzed by a computer program, known as an artificial intelligence algorithm, that is designed to recognize patterns.
Its offerings are designed to find patterns and preferences within transaction data and help customers determine which accounts are most likely to sell and at what price.
The human brain, or more specifically the neo-cortex, is designed to recognize patterns and draw conclusions from them.
Two linear contrasts designed to detect patterns of a priori interest were applied.
MDS, also called Principal COordinates analysis (PCO), is an exploratory multivariate procedure designed to identify patterns in a distance matrix.
In CTF, several types of feature functions have been designed to capture patterns contained in features.
This prospective observational study was designed to describe patterns of care with the analysis primarily descriptive in nature.
Algorithmic accountability is designed to stop that pattern.
Figures 8 and 9 are designed to emphasize the pattern of compactions/depressions.
