Real-time diagnostic monitoring and connectivity issue resolution by a machine-learning data model
US11996987B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 4, 2023 |
| Grant date | May 28, 2024 |
| Priority date | — |
| Expiry date | Aug 4, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/22
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system, methods, and computer-readable media are provided herein for real-time “live” identification of connectivity issues with autonomous predictive solution provision via a diagnostic application supported by a machine-learning model. In aspects, live data in a targeted application is captured in an on-going manner and used by the diagnostic application to automatically identify connectivity issues. When connectivity issues are detected, the live data capture is pushed to the model so that the model can make a predictive classification of the error based on geospatial, temporal, and/or geospatial-temporal alignments in the data. Based on the classification, the model predicts a solution and the diagnostic application provides the solution to the user of the targeted application.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.