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:
Sep. 24, 2024

Filed:

Dec. 07, 2022
Applicant:

Strong Force Iot Portfolio 2016, Llc, Fort Lauderdale, FL (US);

Inventors:

Charles Howard Cella, Pembroke, MA (US);

Gerald William Duffy, Jr., Philadelphia, PA (US);

Jeffrey P. McGuckin, Philadelphia, PA (US);

Mehul Desai, Oak Brook, IL (US);

Assignee:

Strong Force loT Portfolio 2016, LLC, Fort Lauderdale, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/006 (2023.01); B62D 15/02 (2006.01); G01M 13/028 (2019.01); G01M 13/04 (2019.01); G01M 13/045 (2019.01); G05B 13/02 (2006.01); G05B 19/418 (2006.01); G05B 23/02 (2006.01); G06F 18/21 (2023.01); G06N 3/02 (2006.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/084 (2023.01); G06N 3/088 (2023.01); G06N 5/046 (2023.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06Q 10/04 (2023.01); G06Q 10/0639 (2023.01); G06Q 30/02 (2023.01); G06Q 30/06 (2023.01); G06Q 50/00 (2012.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01); G16Z 99/00 (2019.01); H02M 1/12 (2006.01); H03M 1/12 (2006.01); H04B 17/23 (2015.01); H04B 17/309 (2015.01); H04B 17/318 (2015.01); H04B 17/345 (2015.01); H04L 1/00 (2006.01); H04L 1/18 (2023.01); H04L 1/1867 (2023.01); H04L 67/1097 (2022.01); H04L 67/12 (2022.01); H04W 4/38 (2018.01); H04W 4/70 (2018.01); B62D 5/04 (2006.01); G05B 19/042 (2006.01); G06F 17/18 (2006.01); G06F 18/25 (2023.01); G06N 3/126 (2023.01); H01B 17/40 (2006.01); H04B 17/29 (2015.01); H04B 17/40 (2015.01); H04L 5/00 (2006.01); H04L 67/306 (2022.01);
U.S. Cl.
CPC ...
G06N 3/006 (2013.01); B62D 15/0215 (2013.01); G01M 13/028 (2013.01); G01M 13/04 (2013.01); G01M 13/045 (2013.01); G05B 13/028 (2013.01); G05B 19/4183 (2013.01); G05B 19/4184 (2013.01); G05B 19/41845 (2013.01); G05B 19/4185 (2013.01); G05B 19/41865 (2013.01); G05B 19/41875 (2013.01); G05B 23/0221 (2013.01); G05B 23/0229 (2013.01); G05B 23/024 (2013.01); G05B 23/0264 (2013.01); G05B 23/0283 (2013.01); G05B 23/0286 (2013.01); G05B 23/0289 (2013.01); G05B 23/0291 (2013.01); G05B 23/0294 (2013.01); G05B 23/0297 (2013.01); G06F 18/2178 (2023.01); G06N 3/02 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/084 (2013.01); G06N 3/088 (2013.01); G06N 5/046 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 10/0639 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0278 (2013.01); G06Q 30/06 (2013.01); G06Q 50/00 (2013.01); G06V 10/7784 (2022.01); G06V 10/82 (2022.01); G16Z 99/00 (2019.02); H02M 1/12 (2013.01); H03M 1/12 (2013.01); H04B 17/23 (2015.01); H04B 17/309 (2015.01); H04B 17/318 (2015.01); H04B 17/345 (2015.01); H04L 1/0002 (2013.01); H04L 1/0041 (2013.01); H04L 1/18 (2013.01); H04L 1/1874 (2013.01); H04L 67/1097 (2013.01); H04L 67/12 (2013.01); H04W 4/38 (2018.02); H04W 4/70 (2018.02); B62D 5/0463 (2013.01); G05B 19/042 (2013.01); G05B 23/02 (2013.01); G05B 23/0208 (2013.01); G05B 2219/32287 (2013.01); G05B 2219/35001 (2013.01); G05B 2219/37337 (2013.01); G05B 2219/37351 (2013.01); G05B 2219/37434 (2013.01); G05B 2219/37537 (2013.01); G05B 2219/40115 (2013.01); G05B 2219/45004 (2013.01); G05B 2219/45129 (2013.01); G06F 17/18 (2013.01); G06F 18/21 (2023.01); G06F 18/217 (2023.01); G06F 18/25 (2023.01); G06N 3/126 (2013.01); H01B 17/40 (2013.01); H04B 17/29 (2015.01); H04B 17/40 (2015.01); H04L 1/0009 (2013.01); H04L 5/0064 (2013.01); H04L 67/306 (2013.01); Y02P 80/10 (2015.11); Y02P 90/02 (2015.11); Y02P 90/80 (2015.11); Y04S 50/00 (2013.01); Y04S 50/12 (2013.01); Y10S 707/99939 (2013.01);
Abstract

System and methods for learning data patterns predictive of an outcome are described. An example system may include a plurality of input sensors communicatively coupled to a controller; a data collection circuit structured to collect output data from the plurality of input sensors; and a machine learning data analysis circuit structured to receive the output data, learn received output data patterns indicative of an outcome, and learn a preferred input data collection band among a plurality of available input data collection bands. The machine learning data analysis circuit may be structured to learn received output data patterns by being seeded with a model based on industry-specific feedback. The outcome may be at least one of: a reaction rate, a production volume, or a required maintenance.


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