Patent · US Active

Method for automatically identifying signals or patterns in time series data by treating series as image

US11586845B2 · kind B2 · utility

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18Claims
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Key dates

Filing dateMay 29, 2020
Grant dateFeb 21, 2023
Priority date
Expiry dateMar 27, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06F2218/00
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A method for using images that represent time-series data to forecast future images depicting future values as pixelated information is provided. The method includes: receiving a first set of time-series data; converting the received first set of time-series data into a first image; and using the first image to forecast a future image depicting future values as pixelated information that corresponds to a future time interval Training sets of time-series data are used to generate historical data that provides input to a machine learning algorithm, which provides, as an output, a composite image that depicts the future values as pixelated information that reflects associated uncertainties in the value predictions.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.