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公开(公告)号:US20250061469A1
公开(公告)日:2025-02-20
申请号:US18234911
申请日:2023-08-17
Applicant: Bank of America Corporation
Inventor: Rahul Yaksh , Amer Ali , Brian Jacobson , Elvis Nyamwange , Erik Dahl , Hari Vuppala , Pratap Dande , Rahul Phadnis , Sailesh Vezzu
IPC: G06Q30/018 , G06V30/412
Abstract: Systems and methods for alerting an organization about activity that may be fraudulent. Systems may include a computer processor, a storage module, a cleaning module, a preprocessing module, a features extraction module, and a machine learning module. The computer processor may be configured to run a fraud detection engine by collecting publicly available electronic forms every 36 hours, using the modules to store the forms, clean the data, preprocess the data, and run a machine learning model to extract features and to determine if a threshold indicating a risk of fraud has been exceeded. The machine learning models include a liquid, solvency, and profitability ratio classification model, a disclosure classification model, a sentiment analysis model, an anomaly detection classification model, an ownership analysis classification model, and an ESG disclosure classification model. When exceeding a threshold, the computer processor may notify an administrator of the exceeded threshold's identity.
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公开(公告)号:US20250036506A1
公开(公告)日:2025-01-30
申请号:US18227759
申请日:2023-07-28
Applicant: BANK OF AMERICA CORPORATION
Inventor: Brian Neal Jacobson , Amer Ali , Erik Dahl , Pratap Dande , Elvis Nyamwange , Rahul Shashidhar Phadnis , Sailesh Vezzu , Hari Vuppala , Rahul Yaksh
Abstract: Systems, computer program products, and methods are described herein for using advanced computation models for data analysis and automated decision-making for root cause analysis within software. The present disclosure is configured to receive a set of file extensions associated with an error generated from an at least one piece of software; analyzing the set of file extensions using an advanced computation model for data analysis and automated decision-making; determining a set of root cause analysis from the analyzed set of file extensions using a root cause database; summarizing the set of root cause analysis using the advanced computation model for data analysis and automated decision making and a predetermined database of identifiers; and transmitting the summarized set of root cause analysis associated with the error generated from the at least one piece of software to an end-point device.
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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.
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公开(公告)号:US20240169041A1
公开(公告)日:2024-05-23
申请号:US17992575
申请日:2022-11-22
Applicant: BANK OF AMERICA CORPORATION
Inventor: Elvis Nyamwange
Abstract: Embodiments of the present invention provide a system for generating user identity based encrypted data files using capsule neural networks to prevent identity misappropriation. The system is configured for retrieving at least two images associated with a user from one or more entity databases, generating a consolidated image of the at least two images via an image coupling application, providing the consolidated image to capsule neural networks for training, receiving a real-time image associated with the user, wherein the real-time image is associated with a new application, providing the real-time image to the capsule neural networks, validating the real-time image via the capsule neural network, and determining if the validation is successful to authenticate the user.
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公开(公告)号:US11985056B1
公开(公告)日:2024-05-14
申请号:US18223176
申请日:2023-07-18
Applicant: BANK OF AMERICA CORPORATION
Inventor: Elvis Nyamwange , Amer Ali , Erik Dahl , Pratap Dande , Brian Neal Jacobson , Rahul Shashidhar Phadnis , Sailesh Vezzu , Hari Vuppala , Rahul Yaksh
CPC classification number: H04L45/123 , H04L45/42
Abstract: Systems, computer program products, and methods are described herein for selective data routing in a distributed network via data throughput analysis in a distributed ledger network. The present invention is configured to receive a request for a data transmission from an endpoint device of a network, determine, via a routing module, a throughput of data associated with the data transmission, determine a classification of the data transmission, and assign the data transmission to an assigned routing channel. The assigned routing channel may include either a first routing channel or a second routing channel based on the classification, wherein the first routing channel is a light load network comprising emitter devices operatively coupled to endpoint devices proximate the emitter devices, and wherein the second routing channel is a heavy load network comprising a first multicore optical fiber.
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公开(公告)号:US11983719B2
公开(公告)日:2024-05-14
申请号:US18125893
申请日:2023-03-24
Applicant: Bank of America Corporation
Inventor: Elvis Nyamwange
CPC classification number: G06Q20/40145 , G06Q20/02 , G06Q20/1085 , G06Q20/325 , G07D11/60 , G07F19/211 , G07D11/14 , G07D2211/00
Abstract: An ATM equipped with forensic card reader identification validation is provided. The ATM may include a real ID card slot. The real ID card slot may accept real ID cards. The ATM may include a call communications module. The call communications module may communicate with a third-party network. Upon insertion of a real ID card at the ATM, the ATM may retrieve security details from the real ID card. The ATM may transmit the security details to the third-party network via the call communications module. The third-party network may verify the security details with one or more databases which are accessible by the third-party network. Upon failure to verify the security details, the third-party network may transmit a failed verification response to the ATM.
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公开(公告)号:US20240129292A1
公开(公告)日:2024-04-18
申请号:US17964634
申请日:2022-10-12
Applicant: BANK OF AMERICA CORPORATION
Inventor: Elvis Nyamwange , Brian Neal Jacobson , Vismay Mandloi , Donna Lee Phillips , Madhukiran Bangalore Ramachandra
CPC classification number: H04L63/083 , H04N5/23206
Abstract: Systems, methods, and computer program products are provided for resource transfers with authentication based on hyperspectral imaging. An example method includes receiving a request for hyperspectral image generation associated with a first user and receiving one or more account credentials of the first user. The method further includes generating, via a hyperspectral imaging module, hyperspectral image data based on the one or more account credentials of a first user and generating, via the hyperspectral imaging module, a hyperspectral image based on the hyperspectral image data. The method may further cause application of the hyperspectral on a body of a resource transfer object.
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公开(公告)号:US20240029056A1
公开(公告)日:2024-01-25
申请号:US17868235
申请日:2022-07-19
Applicant: BANK OF AMERICA CORPORATION
Inventor: Elvis Nyamwange
CPC classification number: G06Q20/3678 , G06F3/0679 , G06F3/0631 , G06F3/0604 , G06Q2220/00
Abstract: A system for leveraging local/user-side resources (i.e., memory) to store Non-Fungible Tokens (NFTs) and conduct NFT-related computational processes required for generating/minting or exchanging an NFT. The local/user device is equipped with super Non-Volatile Random Access Memory (NVRAM), which operates in accordance with a resource-sharing protocol, such as Network Block Device (NBD) protocol or the like. The resource-sharing protocol is registered with the user's NFT digital wallet, which is in communication with the distributed trust computing networks and, thus links the local/user-side resources (i.e., NVRAM) with the distributed trust computing network for resource sharing capabilities.
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公开(公告)号:US11836740B2
公开(公告)日:2023-12-05
申请号:US16888747
申请日:2020-05-31
Applicant: Bank of America Corporation
Inventor: Elvis Nyamwange
IPC: G06Q30/016 , G06Q30/018 , G06Q20/40 , G06Q20/32 , H04B5/00 , G06Q40/02 , G06Q10/1093 , G06Q20/18 , G06V40/12
CPC classification number: G06Q30/0185 , G06Q10/1093 , G06Q20/18 , G06Q20/3278 , G06Q20/40145 , G06Q30/016 , G06Q40/02 , G06V40/1365 , H04B5/0031
Abstract: A system for staging and executing secure, service-based, transactions. The transactions are staged by a mobile device. The system may include a receiver. The receiver receives a communication from the mobile device in order to stage a transaction. The system may also include a near-field communication (NFC) device mounted in the CSC. The NFC device may communicate with the receiver. When the receiver receives a pre-staging communication, the receiver sets the NFC device to a staged state. In the staged state, the NFC device performs an NFC handshake with the mobile device. Following the NFC handshake, the receiver receives a signal from the mobile device. The signal includes a biometric confirmation of the identity of the user and an identification of the mobile device. The biometric confirmation may be derived by the mobile device from a biometric parameter associated with the user. The handshake initiates completion of the transaction.
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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.
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