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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.

Patent No.:

US 12784066 B1

PDFFull Text
Date of Patent:
Nov. 03, 2026

Filed:

May. 15, 2023

Dynamic action classification using machine learning techniques

Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventors:

Anat Parush Tzur, Beer Shiva, IL;

Abhishek Sharma, Berlin, DE;

Rahul Namdev, Bhopal, IN;

Parag Suryakant Ved, Round Rock, TX (US);

Prateek Srivastava, Cedar Park, TX (US);

Carlos Jose De Olaguibel, Round Rock, TX (US);

Anvesh Kalia, Round Rock, TX (US);

Shailesh Dhekne, Pune, IN;

Katarina Kovacova, Bratislava, SK;

Anne E. Guinard, Austin, TX (US);

Ryan P. Weninger, Austin, TX (US);

Amihai Savir, Newton, MA (US);

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:

Ryan, Mason & Lewis, LLP

Primary Examiner:

William S Brockington, III

Int. Cl.
CPC ...
G06Q 30/0202 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0202 (2013.01); G06N 20/00 (2019.01);
Abstract

Methods, apparatus, and processor-readable storage media for dynamic action classification using machine learning techniques are provided herein. An example computer-implemented method includes generating at least one resource-related forecast by processing, using at least one regression model, resource-related data within at least one predetermined temporal period; converting at least a portion of the at least one resource-related forecast to at least one resource-related action forecast using one or more machine learning techniques in conjunction with one or more temporal lag values; classifying at least one resource-related action associated with at least a portion of the at least one predetermined temporal period by processing at least a portion of the at least one resource-related action forecast using at least one classification model; and performing one or more automated actions based at least in part on the at least one classified resource-related action.

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Tzur, Anat. (2026). Dynamic action classification using machine learning techniques (U.S. Patent No. 12784066). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12784066

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