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    System and method for transpilation of machine interpretable languages
    1.
    发明授权
    System and method for transpilation of machine interpretable languages 有权

    公开(公告)号：US12147422B2

    公开(公告)日：2024-11-19

    申请号：US17557208

    申请日：2021-12-21

    Applicant: Bank of America Corporation

    Inventor： Maharaj Mukherjee ,  Carl M. Benda ,  Elvis Nyamwange ,  Suman Roy Choudhury ,  Utkarsh Raj

    IPC: G06F16/24 ,  G06F16/21 ,  G06F16/242 ,  G06F16/2452 ,  G06F16/2453 ,  G06F16/248 ,  G06F16/25 ,  G06F40/205

    Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may train a machine learning model using source syntax trees and target dialect syntax trees, which may configure the model to output source dialect keys and their corresponding target dialect queries. The computing platform may execute the corresponding target dialect queries to identify whether they are valid. For a valid target dialect query, the computing platform may store the valid target dialect query and first source dialect keys corresponding to the valid target dialect query in a lookup table. For an invalid target dialect query resulting in error, the computing platform may: 1) identify a cause of the error; 2) generate a transliteration rule to correct the error; and 3) store, in the lookup table, the invalid target dialect query, second source dialect keys corresponding to the invalid target dialect query, and the transliteration rule.

    System and Method for Efficient Transliteration of Machine Interpretable Languages
    2.
    发明申请
    System and Method for Efficient Transliteration of Machine Interpretable Languages 有权

    公开(公告)号：US20230129782A1

    公开(公告)日：2023-04-27

    申请号：US17557456

    申请日：2021-12-21

    Applicant: Bank of America Corporation

    Inventor： Carl M. Benda ,  Maharaj Mukherjee ,  Utkarsh Raj ,  Elvis Nyamwange ,  Suman Roy Choudhury

    IPC: G06F16/248 ,  G06F16/2453

    Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may configure a client application to use a custom driver when communicating with an enterprise database. The computing platform may receive a database query formatted in a first database format corresponding to a first database. The computing platform may translate, using a query translation library, the database query from the first database format into a second database format corresponding to a second database, which may cause the custom driver to execute a transliteration process using pre-verified query keys stored in the query translation library to convert the database query from the first database format into the second database format. The computing platform may execute the translated database query on the second database to obtain a query result, and may send the query result to the client application.

    Abstraction Layer for Efficient Transliteration of Machine Interpretable Languages
    4.
    发明申请
    Abstraction Layer for Efficient Transliteration of Machine Interpretable Languages 有权

    公开(公告)号：US20230130019A1

    公开(公告)日：2023-04-27

    申请号：US17557418

    申请日：2021-12-21

    Applicant: Bank of America Corporation

    Inventor： Carl M. Benda ,  Maharaj Mukherjee ,  Utkarsh Raj ,  Elvis Nyamwange ,  Suman Roy Choudhury

    IPC: G06F16/2452 ,  G06F16/242 ,  G06F16/21 ,  G06F16/25

    Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may receive a request to perform a data migration from a first database configured in a first format to a second database configured in a second format. The computing platform may receive, from the client application and at an abstraction layer, a query. Based on identifying that the query is formatted for execution at the second database, the computing platform may route the query to the second database for execution. Based on identifying that the query is not formatted for execution at the second database, the computing platform may: 1) translate the query from the first format to the second format by using pre-verified query keys to convert the query from the first format into the second format, and 2) route the translated query to the second database for execution.

    HYBRID NEURAL NETWORK FOR PREVENTING SYSTEM FAILURE
    7.
    发明公开
    HYBRID NEURAL NETWORK FOR PREVENTING SYSTEM FAILURE 审中-公开

    公开(公告)号：US20240045784A1

    公开(公告)日：2024-02-08

    申请号：US17879930

    申请日：2022-08-03

    Applicant: Bank of America Corporation

    Inventor： Maharaj Mukherjee ,  Vidya Srikanth ,  Utkarsh Raj ,  Carl M. Benda ,  Elvis Nyamwange ,  Suman Roy Choudhury

    IPC: G06F11/34 ,  G06F11/07 ,  G06F9/50

    CPC classification number: G06F11/3442 ,  G06F11/0769 ,  G06F9/5083

    Abstract: Aspects of the disclosure relate to outage prevention. A computing platform may train, using historical parameter information and historical outage information, an outage prediction model. The computing platform may receive, from at least one system, current parameter information, and may normalize the current parameter information. The computing platform may convert, using a CNN of the outage prediction model, the normalized current parameter information to a frequency domain. The computing platform may input, into at least one RNN of the outage prediction model, the frequency domain information, to produce a likelihood of outage score. The computing platform may compare the likelihood of outage score to a predetermined outage threshold. Based on identifying that the likelihood of outage score meets or exceeds the predetermined outage threshold, the computing platform may direct the at least one system to execute a performance modification to prevent a predicted outage.

    DIGITAL TWIN BASED VEHICLE EVALUATION ENGINE
    8.
    发明公开
    DIGITAL TWIN BASED VEHICLE EVALUATION ENGINE 审中-公开

    公开(公告)号：US20240013582A1

    公开(公告)日：2024-01-11

    申请号：US17857407

    申请日：2022-07-05

    Applicant: Bank of America Corporation

    Inventor： Maharaj Mukherjee ,  Carl M. Benda

    IPC: G07C5/00 ,  G07C5/08

    CPC classification number: G07C5/008 ,  G07C5/0816 ,  G07C5/0841 ,  G07C5/006

    Abstract: Aspects of the disclosure relate to digital twin simulation. A computing platform may train, using historical vehicle information, a digital twin vehicle evaluation engine, configured to model a vehicle based on characteristics of the vehicle using a computer simulation. The computing platform may receive, from a client device, an event processing request identifying a first vehicle. The computing platform may generate, using the digital twin vehicle evaluation engine, a computer simulation of the first vehicle. The computing platform may execute, over a simulated period of time, the computer simulation of the first vehicle to output event processing information for the first vehicle. The computing platform may send, to the client device, the event processing information and one or more commands directing the client device to display the event processing information, which may cause the client device to display the event processing information.

    DIGITAL TWIN BASED HOME EVALUATION ENGINE
    9.
    发明公开
    DIGITAL TWIN BASED HOME EVALUATION ENGINE 审中-公开

    公开(公告)号：US20230394198A1

    公开(公告)日：2023-12-07

    申请号：US17831220

    申请日：2022-06-02

    Applicant: Bank of America Corporation

    Inventor： Maharaj Mukherjee ,  Carl M. Benda

    IPC: G06F30/27 ,  G06F30/13 ,  G06N5/02

    CPC classification number: G06F30/27 ,  G06F30/13 ,  G06N5/02 ,  G06F2119/02

    Abstract: Aspects of the disclosure relate to digital twin simulation. A computing platform may train, using historical property information, a digital twin property evaluation engine, configured to model a physical property based on characteristics of the physical property using a computer simulation. The computing platform may receive, from a client device, an event processing request identifying a first physical property. The computing platform may generate, using the digital twin property evaluation engine, a computer simulation of the first physical property. The computing platform may execute, over a simulated period of time, the computer simulation of the first physical property to output event processing information for the first physical property. The computing platform may send, to the client device, the event processing information and one or more commands directing the client device to display the event processing information, which may cause the client device to display the event processing information.

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