Patents by Inventor Sean T. O'Hara

Sean T. O'Hara 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).

  • Data management and bootstrapping processing for machine learning and classification development
    Patent number: 11651290
    Abstract: A system for developing machine learning for use in the radiofrequency domain that produces a robust set of training data for machine learning from a small set of labelled training data that is bootstrapped with unlabeled electromagnetic environment data. A raw signal set is prepared from the labeled data and separately processed for any electromagnetic environment and interference signals as well as for a primary signal by applying the real electromagnetic environment data and then summed to generate a second data set that is larger than the first data set. Feature extraction is used to produce a bootstrapped labelled data set that is larger than the original labelled data set and that can be used as training data for machine language classification.
    Type: Grant
    Filed: December 26, 2019
    Date of Patent: May 16, 2023
    Assignee: SRC, Inc.
    Inventor: Sean T. O'Hara
  • Data Management And Bootstrapping Processing For Machine Learning And Classification Development
    Publication number: 20210201171
    Abstract: A system for developing machine learning for use in the radiofrequency domain that produces a robust set of training data for machine learning from a small set of labelled training data that is bootstrapped with unlabeled electromagnetic environment data. A raw signal set is prepared from the labeled data and separately processed for any electromagnetic environment and interference signals as well as for a primary signal by applying the real electromagnetic environment data and then summed to generate a second data set that is larger than the first data set. Feature extraction is used to produce a bootstrapped labelled data set that is larger than the original labelled data set and that can be used as training data for machine language classification.
    Type: Application
    Filed: December 26, 2019
    Publication date: July 1, 2021
    Applicant: SRC, Inc.
    Inventor: Sean T. O'Hara