Invention Grant
- Patent Title: Apparatuses and methods for identifying infrastructure through machine learning
-
Application No.: US16722009Application Date: 2019-12-20
-
Publication No.: US11367277B2Publication Date: 2022-06-21
- Inventor: Carlos Eduardo De Andrade , Will Adams Culpepper , Vijay Gopalakrishnan , Sarat Puthenpura , Weiyi Zhang
- Applicant: AT&T Intellectual Property I, L.P.
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee Address: US GA Atlanta
- Agency: Guntin & Gust, PLC
- Agent Robert Gingher
- Main IPC: G06V20/10
- IPC: G06V20/10 ; G06Q30/02 ; G06K9/62

Abstract:
Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.
Public/Granted literature
- US20210192210A1 APPARATUSES AND METHODS FOR IDENTIFYING INFRASTRUCTURE THROUGH MACHINE LEARNING Public/Granted day:2021-06-24
Information query