The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 23, 2022

Filed:

Oct. 20, 2020
Applicants:

International Business Machines Corporation, Armonk, NY (US);

Arizona Board of Regents on Behalf of the University of Arizona, Tucson, AZ (US);

Texas A&m University System, College Station, TX (US);

Inventors:

Bing Zhang, College Station, TX (US);

Shubhi Asthana, San Jose, CA (US);

Aly Megahed, San Jose, CA (US);

Alaa Elwany, College Station, TX (US);

Mohammed Saeed Abuelmakarm Shafae, Tucson, AZ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/00 (2006.01); G06F 16/28 (2019.01); G16Y 40/35 (2020.01); G16Y 30/00 (2020.01); H04L 67/12 (2022.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06F 16/283 (2019.01); G06N 7/005 (2013.01); G16Y 30/00 (2020.01); G16Y 40/35 (2020.01); H04L 67/12 (2013.01);
Abstract

A method, a computer program product, and a system for predicting low-frequency sensor signal predictions using a hierarchical prediction model. The method includes receiving a historical dataset of high-frequency sensor signal data and low-frequency sensor signal data. The method also includes generating a Gaussian process regression model using the historical dataset and sensor parameters and outputting high-frequency sensor signal predictions. The method also includes generating a hierarchical Gaussian process model using the historical dataset and the high-frequency sensor signal predictions and predicting low-frequency sensor signal predictions.


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