Artificial multispectral metadata generator
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United States of America
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Dec 24, 2024
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N/A
app pub date -
Nov 22, 2022
filing date -
Nov 22, 2022
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Abstract
Various examples are direct to computer-implemented systems and methods for providing an artificial multispectral metadata generator. A method includes receiving, by a computer system, an input data set, and determining attributes of the input data set to be transformed, retained, anonymized, or dropped. For the attributes to be transformed, the computer system generates three or more random noise sets, using at least two noise generation methods. An amalgamated random set is created from the three or more random noise sets using a programmable ratio, and the system uses the amalgamated random set to create an artificial data set that can be used to gain insights from the input data set without having access to the input data set.
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