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:
Nov. 29, 2022

Filed:

Feb. 13, 2020
Applicant:

Verizon Patent and Licensing Inc., Washington, DC (US);

Inventors:

Dayong He, Bridgewater, NJ (US);

Jyotsna Kachroo, Millburn, NJ (US);

Manuel Enrique Caceres, Basking Ridge, NJ (US);

Azam Jiva, Bridgewater, NJ (US);

Ray P. Hwang, Green Brook, NJ (US);

Bruno Mendez, Springfield, NJ (US);

Assignee:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2018.01); G06F 1/3234 (2019.01); H04W 52/02 (2009.01); G06N 20/00 (2019.01); G06F 1/3212 (2019.01); G06F 1/3206 (2019.01); G06F 9/50 (2006.01); G06F 9/48 (2006.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
G06F 1/3234 (2013.01); G06F 1/3206 (2013.01); G06F 1/3212 (2013.01); G06N 20/00 (2019.01); H04W 52/0225 (2013.01); G06F 9/48 (2013.01); G06F 9/50 (2013.01); G06F 11/3409 (2013.01); H04W 52/0251 (2013.01); H04W 52/0261 (2013.01);
Abstract

A computer device may include a memory configured to store instructions and a processor configured to execute the instructions to determine a device status associated with the wireless communication device and determine that a machine learning process is to be performed based on the determined device status. The processor may be further configured to execute the instructions to select a machine learning model based on the determined device status; select one or more data inputs based on the determined device status; and perform the machine learning process using the selected machine learning model and the selected one or more data inputs.


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