Patents by Inventor Mahadevaswamy BASAVANNA

Mahadevaswamy BASAVANNA 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).

  • Distribution selection and simulation of intermittent data using machine learning (ML)
    Patent number: 10956631
    Abstract: A machine learning (ML) based intermittent data processing system accesses a collection of intermittent data points, determines a data distribution associated with the collection and generates one or more calculated values based on the data distribution. A simulation can be employed to determine the accuracy of the calculated values based on which, the calculated values can be employed for further processing. The collection of intermittent data points is initially processed to determine if one or more of the data distribution identification, bootstrapping or variability capping techniques are to be applied in order to obtain the calculated values. The calculated values are used to generate visualizations and recommendations.
    Type: Grant
    Filed: October 18, 2018
    Date of Patent: March 23, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Hitesh Bhagchandani, Arvind Maheswaran, Abhijit Kumar, Rajarajan Thangavel Ramalingam, Siddhartha Chakravarty, Neha Kagwad, Renuka R. Jogade, Mahadevaswamy Basavanna, Sunny Balani
  • DISTRIBUTION SELECTION AND SIMULATION OF INTERMITTENT DATA USING MACHINE LEARNING (ML)
    Publication number: 20200074020
    Abstract: A machine learning (ML) based intermittent data processing system accesses a collection of intermittent data points, determines a data distribution associated with the collection and generates one or more calculated values based on the data distribution. A simulation can be employed to determine the accuracy of the calculated values based on which, the calculated values can be employed for further processing. The collection of intermittent data points is initially processed to determine if one or more of the data distribution identification, bootstrapping or variability capping techniques are to be applied in order to obtain the calculated values. The calculated values are used to generate visualizations and recommendations.
    Type: Application
    Filed: October 18, 2018
    Publication date: March 5, 2020
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Hitesh BHAGCHANDANI, Arvind MAHESWARAN, Abhijit KUMAR, Rajarajan THANGAVEL RAMALINGAM, Siddhartha CHAKRAVARTY, Neha KAGWAD, Renuka R. JOGADE, Mahadevaswamy BASAVANNA, Sunny BALANI