Patents by Inventor Pranjalya Singh

Pranjalya Singh 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).

  • Predicting lagging marker values
    Patent number: 12020161
    Abstract: An embodiment for training a forecasting model is provided. The embodiment may include receiving a first 12-month history of a plurality of leading markers. The embodiment may also include submitting the first plurality of leading markers to a convolutional neural network model. The embodiment may further include submitting a first output of the second convolution layer to the aggregation layer. The embodiment may also include generating one or more feature summaries and one or more first lagging markers. The embodiment may further include training the convolutional neural network model. The embodiment may also include removing the regression layer. The embodiment may further include creating a decision tree model and training the decision tree model to generate one or more updated first lagging markers.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: June 25, 2024
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pranjalya Singh, Surabhi Srivastava
  • PREDICTING LAGGING MARKER VALUES
    Publication number: 20220147827
    Abstract: An embodiment for training a forecasting model is provided. The embodiment may include receiving a first 12-month history of a plurality of leading markers. The embodiment may also include submitting the first plurality of leading markers to a convolutional neural network model. The embodiment may further include submitting a first output of the second convolution layer to the aggregation layer. The embodiment may also include generating one or more feature summaries and one or more first lagging markers. The embodiment may further include training the convolutional neural network model. The embodiment may also include removing the regression layer. The embodiment may further include creating a decision tree model and training the decision tree model to generate one or more updated first lagging markers.
    Type: Application
    Filed: November 11, 2020
    Publication date: May 12, 2022
    Inventors: Pranjalya Singh, Surabhi Srivastava