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. 15, 2023

Filed:

Mar. 30, 2022
Applicant:

Ayla Networks, Inc., Milpitas, CA (US);

Inventors:

Sebastian Maurice, Toronto, CA;

Anirudha Deglurkar, San Jose, CA (US);

Ronald Louis Maeder, San Jose, CA (US);

Assignee:

Ayla Networks, Inc., Milpitas, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); G06F 11/00 (2006.01);
U.S. Cl.
CPC ...
G06F 11/0793 (2013.01); G06F 11/008 (2013.01); G06F 11/0709 (2013.01);
Abstract

A system receives a plurality of data streams, including a plurality of data points, associated with properties of a device. The system generates, for each data stream, a data set that includes at least a specified number of data points over a prior time period. The system identifies a first data stream that represents a property to be predicted for a future time period. The system generates a joined data set that includes a subset of the data sets not including a first data set of the first data stream. The joined data set and the first data set are inputted into a trained machine learning model, trained to output a predicted value of the first property for the future time period. The predicted value of the first property indicates an anomaly, and a resolution action for preventing the anomaly from occurring at the future time period is identified.


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