Patents by Inventor Srinivasarao VALLURU

Srinivasarao VALLURU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for reducing a quantity of false positives associated with rule-based alarms
    Patent number: 11991037
    Abstract: A device may receive alarm data identifying alarms associated with an occurrence of an event, and may identify, from the alarm data, a set of alarms that include false positives. The device may perform feature engineering on the set of alarms to extract features from a feature store and may train a model with the features to generate a trained model. The device may process the alarm data, with the trained model, to determine rules for reducing a quantity of future alarms that include the false positives, and may identify, from the rules for reducing the quantity of future alarms, a set of rules that satisfy a threshold for reducing the quantity of future alarms. The device may perform one or more actions based on the set of rules.
    Type: Grant
    Filed: February 8, 2021
    Date of Patent: May 21, 2024
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Bharatwaaj Shankar, Srinivasarao Valluru, Ria V. Sijo
  • SYSTEMS AND METHODS FOR REQUEST VALIDATION
    Publication number: 20230377004
    Abstract: According to disclosed embodiments, a request validation framework is provided for managing requests. An aspect of the present disclosure is a method of managing request, the method comprising receiving request data, applying a feature extraction model the request data to extract at least one feature, applying a predictive model to the at least one feature, determining an output of the predictive model, the output indicating an action that may be performed in relation to the request; and performing the action with respect to the request.
    Type: Application
    Filed: May 23, 2022
    Publication date: November 23, 2023
    Applicant: VERIZON PATENT AND LICENSING INC.
    Inventors: Dhanraj J. NAIR, Harold Rex SLAY, JR., Srinivasarao VALLURU, Sarathchandra KONIDENA, Naseer MOHAMMED
  • SYSTEMS AND METHODS FOR REDUCING A QUANTITY OF FALSE POSITIVES ASSOCIATED WITH RULE-BASED ALARMS
    Publication number: 20220255791
    Abstract: A device may receive alarm data identifying alarms associated with an occurrence of an event, and may identify, from the alarm data, a set of alarms that include false positives. The device may perform feature engineering on the set of alarms to extract features from a feature store and may train a model with the features to generate a trained model. The device may process the alarm data, with the trained model, to determine rules for reducing a quantity of future alarms that include the false positives, and may identify, from the rules for reducing the quantity of future alarms, a set of rules that satisfy a threshold for reducing the quantity of future alarms. The device may perform one or more actions based on the set of rules.
    Type: Application
    Filed: February 8, 2021
    Publication date: August 11, 2022
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Bharatwaaj SHANKAR, Srinivasarao VALLURU, Ria V. SIJO