Invention Grant
- Patent Title: Machine learning to monitor operations of a device
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Application No.: US16882980Application Date: 2020-05-26
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Publication No.: US11625633B2Publication Date: 2023-04-11
- Inventor: Charles Ethan Hayes , Ann M. Pitruzzello , Matthew Lee Welborn , Macey C. Ruble , Peter D. Anderson
- Applicant: Charles Ethan Hayes , Ann M. Pitruzzello , Matthew Lee Welborn , Macey C. Ruble , Peter D. Anderson
- Applicant Address: US MD Holly Springs; US MD Chapel Hill; US NC Cary; US NC Fuquay Varina; US MD Baltimore
- Assignee: Charles Ethan Hayes,Ann M. Pitruzzello,Matthew Lee Welborn,Macey C. Ruble,Peter D. Anderson
- Current Assignee: Charles Ethan Hayes,Ann M. Pitruzzello,Matthew Lee Welborn,Macey C. Ruble,Peter D. Anderson
- Current Assignee Address: US MD Holly Springs; US MD Chapel Hill; US NC Cary; US NC Fuquay Varina; US MD Baltimore
- Agency: Tarolli, Sundheim, Covell & Tummino LP
- Main IPC: G06F21/00
- IPC: G06F21/00 ; G06N7/00 ; G06N20/00 ; G06F21/56

Abstract:
A multi-tier machine learning engine receives signal data characterizing a monitored signal of the computing platform. The machine learning engine can include a plurality of tiers that employ frequency domain analysis on the signal data to identify an application executing on the computing platform and a module and/or loop of the identified application and employ time domain analysis on the signal data to identify timing of events within the identified module and/or loop of the identified application.
Public/Granted literature
- US20210374580A1 MACHINE LEARNING TO MONITOR OPERATIONS OF A DEVICE Public/Granted day:2021-12-02
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