SYSTEM AND METHOD FOR TRACKING INDIRECT GREENHOUSE GAS EMISSIONS THROUGHOUT A PRODUCT'S LIFECYCLE

Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a sign...

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Bibliographic Details
Main Authors Lim, Sung, Gibbs, George Clayton, Vanheusden, Karel, Stowell, Michael, Matthys, Kyle, Montalvo, Carlos, Chmiola, John, Cook, Daniel, Norman, Keith, Nicole, Jacques, Lanning, Bruce
Format Patent
LanguageEnglish
Published 15.08.2024
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Summary:Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.
Bibliography:Application Number: US202418440769