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:
Apr. 04, 2023

Filed:

Jun. 04, 2019
Applicant:

Ciena Corporation, Hanover, MD (US);

Inventors:

Sid Ryan, Montreal, CA;

Petar Djukic, Nepean, CA;

Todd Morris, Stittsville, CA;

Stephen Shew, Ottawa, CA;

Assignee:

Ciena Corporation, Hanover, MD (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); G06N 3/084 (2023.01); H04L 43/04 (2022.01); G06N 3/04 (2023.01); G06N 20/00 (2019.01); G06F 17/15 (2006.01); G06F 11/34 (2006.01); G06F 17/14 (2006.01); G06F 18/24 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 11/3466 (2013.01); G06F 17/142 (2013.01); G06F 17/15 (2013.01); G06F 18/24 (2023.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01); H04L 43/04 (2013.01);
Abstract

Systems and methods for detecting patterns in data from a time-series are provided. In one implementation, a method for pattern detection includes obtaining data in a time-series and creating one-dimensional or multi-dimensional windows from the time-series data. The one-dimensional or multi-dimensional windows are created either independently or jointly with the time-series. The method also includes training a deep neural network with the one-dimensional or multi-dimensional windows utilizing historical and/or simulated data to provide a neural network model. Also, the method includes processing ongoing data with the neural network model to detect one or more patterns of a particular category in the ongoing data, and localizing the one or more patterns in time.


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