公开(公告)号：US20240267280A1

公开(公告)日：2024-08-08

申请号：US18163809

申请日：2023-02-02

Applicant: Bank of America Corporation

Inventor： Tirupathirao Madiya ,  Vishalakshi Nagasai Poosa ,  Yellaiah Ponnameni ,  Gourav Mohite ,  Vinothkumar Babu

IPC: H04L41/0631 ,  H04L41/0663 ,  H04L41/16 ,  H04L43/0811

CPC classification number: H04L41/064 ,  H04L41/0663 ,  H04L41/16 ,  H04L43/0811

Abstract: A system for implementing auto-correction to solve dynamic issues in a distributed network comprises a processor associated with a server. The processor detects an application issue at a network node. The application issue comprises a user request with an issue statement and a user interaction associated with one or more operation parameters of an application. The processor receives a set of data objects associated with the application issue. The processor classifies the data objects into one or more issue patterns by a machine learning model. The processor processes the one or more issue patterns and application information through a neural network to determine executable operations configured to solve the application issue. In response to determining that the application is running at the network node, the processor deploys the executable operations to the network node to correct the one or more parameters of the application to prevent a failure application.

公开(公告)号：US12222801B2

公开(公告)日：2025-02-11

申请号：US18163791

申请日：2023-02-02

Applicant: Bank of America Corporation

Inventor： Tirupathirao Madiya ,  Vishalakshi Nagasai Poosa ,  Yellaiah Ponnameni ,  Gourav Mohite ,  Vinothkumar Babu

IPC: G06F11/00 ,  G06F11/07 ,  G06N3/08

Abstract: A system for auto-detecting dynamic issue changes in a distributed network comprises a processor associated with a server. The processor detects an application issue at a network node receives a first set of data objects associated with the application issue occurring at the first timestamp. The processor receives a second set of data objects associated with the application issue occurring at the second timestamp. The processor determines a change between a first set of the data objects and a second set of data objects. The processor identifies an issue pattern represents an operation change of the application by a machine learning model. The processor processes the issue pattern with application information through a neural network to determine a series of executable operations associated with the application issue. The processor deploys the series of the executable operations to solve the application issue to prevent a failure operation of the application.

公开(公告)号：US20240264897A1

公开(公告)日：2024-08-08

申请号：US18163791

申请日：2023-02-02

Applicant: Bank of America Corporation

Inventor： Tirupathirao Madiya ,  Vishalakshi Nagasai Poosa ,  Yellaiah Ponnameni ,  Gourav Mohite ,  Vinothkumar Babu

IPC: G06F11/07 ,  G06N3/08

CPC classification number: G06F11/0793 ,  G06F11/0709 ,  G06F11/079 ,  G06N3/08

Abstract: A system for auto-detecting dynamic issue changes in a distributed network comprises a processor associated with a server. The processor detects an application issue at a network node receives a first set of data objects associated with the application issue occurring at the first timestamp. The processor receives a second set of data objects associated with the application issue occurring at the second timestamp. The processor determines a change between a first set of the data objects and a second set of data objects. The processor identifies an issue pattern represents an operation change of the application by a machine learning model. The processor processes the issue pattern with application information through a neural network to determine a series of executable operations associated with the application issue. The processor deploys the series of the executable operations to solve the application issue to prevent a failure operation of the application.

公开(公告)号：US11888708B1

公开(公告)日：2024-01-30

申请号：US18163775

申请日：2023-02-02

Applicant: Bank of America Corporation

Inventor： Tirupathirao Madiya ,  Vishalakshi Nagasai Poosa ,  Yellaiah Ponnameni ,  Gourav Mohite ,  Vinothkumar Babu

IPC: H04L41/16 ,  H04L41/0853 ,  H04L41/042

CPC classification number: H04L41/16 ,  H04L41/042 ,  H04L41/0853

Abstract: A system for auto-determining solutions for dynamitic issues comprises a processor associated with a server. The processor detects an application issue associated with an application running at a network node in a distributed network. The processor receives a set of data objects associated with the application issue. The processor classifies the set of the data objects of the application issue into one or more issue patterns using a machine learning model. The machine learning model is trained based on a plurality of sets of data objects and issue patterns associated with corresponding previous application issues. The processor processes the one or more issue patterns and application information through a neural network to determine a series of executable operations for solving the application issue. The processor deploys the series of the executable operations to solve the application issue occurring at the network node to prevent a failure operation of the application.