Machine-learning based analysis and response based on electromagnetic waveforms and sensor data

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United States of America

PATENT NO 12267155
APP PUB NO 20220077951A1
SERIAL NO

17468013

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Abstract

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A method includes determining, based at least in part on parameters of a software defined radio (SDR), waveform data descriptive of an electromagnetic waveform. The method also includes obtaining sensor data distinct from the waveform data. The method further includes generating feature data based on the sensor data and the waveform data and providing the feature data as input to a first machine learning model and initiating a response action based on an output of the first machine learning model.

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Patent Owner(s)

Patent OwnerAddress
SPARKCOGNITION INC4030 WEST BRAKER LANE BUILDING 5 SUITE 500 AUSTIN TX 78759

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Husain, Syed Mohammad Amir Georgetown, US 99 1796

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