ARTIFICIAL INTELLIGENCE PLATFORM FOR MOBILE CHARGING OF RECHARGEABLE VEHICLES AND ROBOTIC DEVICES

    公开(公告)号:US20200269977A1

    公开(公告)日:2020-08-27

    申请号:US16283606

    申请日:2019-02-22

    Inventor: Eric Noble Di Chou

    Abstract: Example methods, apparatus, systems, and machine-readable mediums for an artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices are disclosed. An example method may include determining that a mobile vehicle is operating within a region and determining that the mobile vehicle requires charging of a battery for the mobile device while operating within the region. The method may further comprise identifying a charging station available within the region for charging of the battery at a time and a location within the region and navigating at least one of the mobile vehicle or the charging station to the location at the time for charging the battery of the mobile vehicle.

    Fraud as a service
    2.
    发明授权

    公开(公告)号:US11062315B2

    公开(公告)日:2021-07-13

    申请号:US15962253

    申请日:2018-04-25

    Inventor: Eric Noble Di Chou

    Abstract: Various embodiments disclosed herein provide for a fraud detection as a service system that can be implemented via one or more microservices that can be instantiated on an operation support system and/or business support systems. Each fraud detection microservice instantiated can have one or more fraud detection models and sets of rules for a particular type of incoming data stream or transaction and/or interaction data. In this way, there can be more than one fraud detection microservice operating on the OSS/BSS allowing each fraud detection microservice to be dynamically updated in real time, provide continuous integration and continuous delivery of services, and work with a particular data flow, providing for an optimal fraud detection process.

    Fraud as a service
    3.
    发明授权

    公开(公告)号:US11531989B2

    公开(公告)日:2022-12-20

    申请号:US17346178

    申请日:2021-06-11

    Inventor: Eric Noble Di Chou

    Abstract: A fraud detection as a service system is provided that can be implemented via one or more microservices that can be instantiated on an operation support system and/or business support systems. Each fraud detection microservice instantiated can have one or more fraud detection models and sets of rules for a particular type of incoming data stream or transaction and/or interaction data. In this way, there can be more than one fraud detection microservice operating on the OSS/BSS allowing each fraud detection microservice to be dynamically updated in real time, provide continuous integration and continuous delivery of services, and work with a particular data flow, providing for an optimal fraud detection process.

    ARTIFICIAL INTELLIGENCE PLATFORM FOR MOBILE CHARGING OF RECHARGEABLE VEHICLES AND ROBOTIC DEVICES

    公开(公告)号:US20220106041A1

    公开(公告)日:2022-04-07

    申请号:US17644582

    申请日:2021-12-16

    Inventor: Eric Noble Di Chou

    Abstract: An artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices is disclosed. An example method may include determining that a mobile vehicle is operating within a region and determining that the mobile vehicle requires charging of a battery for the mobile device while operating within the region. The method may further comprise identifying a charging station available within the region for charging of the battery at a time and a location within the region and navigating at least one of the mobile vehicle or the charging station to the location at the time for charging the battery of the mobile vehicle.

    FRAUD AS A SERVICE
    6.
    发明申请

    公开(公告)号:US20210304208A1

    公开(公告)日:2021-09-30

    申请号:US17346178

    申请日:2021-06-11

    Inventor: Eric Noble Di Chou

    Abstract: A fraud detection as a service system is provided that can be implemented via one or more microservices that can be instantiated on an operation support system and/or business support systems. Each fraud detection microservice instantiated can have one or more fraud detection models and sets of rules for a particular type of incoming data stream or transaction and/or interaction data. In this way, there can be more than one fraud detection microservice operating on the OSS/BSS allowing each fraud detection microservice to be dynamically updated in real time, provide continuous integration and continuous delivery of services, and work with a particular data flow, providing for an optimal fraud detection process.

    MULTIMEDIA PIRACY DETECTION WITH MULTI-PHASE SAMPLING AND TRANSFORMATION

    公开(公告)号:US20240394341A1

    公开(公告)日:2024-11-28

    申请号:US18795066

    申请日:2024-08-05

    Abstract: Multimedia piracy detection (e.g., using a computerized tool) is enabled. A system can comprise a memory that stores executable instructions that, when executed by a processor, facilitate performance of operations, comprising: determining, based on a time domain and/or a frequency domain associated with original digital media content (e.g., and respective digital transportation) and using a counterfeit digital media content model, whether digital media content comprises a counterfeit of an authorized release of the original digital media content, wherein the counterfeit digital media content model has been generated based on machine learning applied to time domains and/or frequency domains of past original digital media content (e.g., and respective digital transportation) and to past digital media content (e.g., counterfeit digital media content) (e.g., and respective digital transportation), and based on a determination that the digital media content comprises the counterfeit, flagging (and/or determining a probability that) the digital media content as counterfeit.

    Multimedia piracy detection with multi-phase sampling and transformation

    公开(公告)号:US12056217B2

    公开(公告)日:2024-08-06

    申请号:US17517923

    申请日:2021-11-03

    CPC classification number: G06F21/10 G06N20/00

    Abstract: Multimedia piracy detection (e.g., using a computerized tool) is enabled. A system can comprise a memory that stores executable instructions that, when executed by a processor, facilitate performance of operations, comprising: determining, based on a time domain and/or a frequency domain associated with original digital media content (e.g., and respective digital transportation) and using a counterfeit digital media content model, whether digital media content comprises a counterfeit of an authorized release of the original digital media content, wherein the counterfeit digital media content model has been generated based on machine learning applied to time domains and/or frequency domains of past original digital media content (e.g., and respective digital transportation) and to past digital media content (e.g., counterfeit digital media content) (e.g., and respective digital transportation), and based on a determination that the digital media content comprises the counterfeit, flagging (and/or determining a probability that) the digital media content as counterfeit.

    MULTIMEDIA PIRACY DETECTION WITH MULTI-PHASE SAMPLING AND TRANSFORMATION

    公开(公告)号:US20230137496A1

    公开(公告)日:2023-05-04

    申请号:US17517923

    申请日:2021-11-03

    Abstract: Multimedia piracy detection (e.g., using a computerized tool) is enabled. A system can comprise a memory that stores executable instructions that, when executed by a processor, facilitate performance of operations, comprising: determining, based on a time domain and/or a frequency domain associated with original digital media content (e.g., and respective digital transportation) and using a counterfeit digital media content model, whether digital media content comprises a counterfeit of an authorized release of the original digital media content, wherein the counterfeit digital media content model has been generated based on machine learning applied to time domains and/or frequency domains of past original digital media content (e.g., and respective digital transportation) and to past digital media content (e.g., counterfeit digital media content) (e.g., and respective digital transportation), and based on a determination that the digital media content comprises the counterfeit, flagging (and/or determining a probability that) the digital media content as counterfeit.

    Artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices

    公开(公告)号:US11242145B2

    公开(公告)日:2022-02-08

    申请号:US16283606

    申请日:2019-02-22

    Inventor: Eric Noble Di Chou

    Abstract: Example methods, apparatus, systems, and machine-readable mediums for an artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices are disclosed. An example method may include determining that a mobile vehicle is operating within a region and determining that the mobile vehicle requires charging of a battery for the mobile device while operating within the region. The method may further comprise identifying a charging station available within the region for charging of the battery at a time and a location within the region and navigating at least one of the mobile vehicle or the charging station to the location at the time for charging the battery of the mobile vehicle.

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