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US Patent 12028095 Machine-learning based analysis and response to electromagnetic waveforms

Patent 12028095 was granted and assigned to SparkCognition on July, 2024 by the United States Patent and Trademark Office.

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Patent attributes

Patent Applicant

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Current Assignee

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Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

Patent Inventor Names

Syed Mohammad Amir Husain1

Date of Patent

July 2, 2024

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Patent Application Number

174679221

Date Filed

September 7, 2021

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Patent Citations

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US Patent 11152016 Autonomous intelligent radio

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US Patent 11366434 Adaptive and interchangeable neural networks

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Patent Primary Examiner

Fitwi Y Hailegiorgis

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CPC Code

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Patent abstract

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 generating feature data based on the waveform data and based on one or more symbols decoded from the electromagnetic waveform. The method further includes 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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