Patents by Inventor Yigal Akselman

Yigal Akselman 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).

  • Actionable alerting and diagnostic system for water metering systems
    Patent number: 11803778
    Abstract: A computer-implemented method for providing explainable diagnostics fora water metering system. The method can include receiving data from a water metering system regarding a potential issue in the water metering system; curating the data with a machine learning model; receiving ground truth data associated with the curated data from a user of the water metering system; comparing the curated data with the ground truth data; and optimizing the machine learning model based on the comparing.
    Type: Grant
    Filed: June 6, 2022
    Date of Patent: October 31, 2023
    Assignee: Watsco Ventures LLC
    Inventors: Mario A. Cruz, James McKeown, Yigal Akselman, Daniel Urquhart
  • ACTIONABLE ALERTING AND DIAGNOSTIC SYSTEM FOR WATER METERING SYSTEMS
    Publication number: 20230039969
    Abstract: A computer-implemented method for providing explainable diagnostics fora water metering system. The method can include receiving data from a water metering system regarding a potential issue in the water metering system; curating the data with a machine learning model; receiving ground truth data associated with the curated data from a user of the water metering system; comparing the curated data with the ground truth data; and optimizing the machine learning model based on the comparing.
    Type: Application
    Filed: June 6, 2022
    Publication date: February 9, 2023
    Applicant: Watsco Ventures LLC
    Inventors: Mario A. CRUZ, James Mckeown, Yigal Akselman, Charles Peter Harland, Daniel Urquhart
  • Actionable alerting and diagnostic system for electromechanical devices
    Patent number: 11353840
    Abstract: A computer-implemented method for providing explainable diagnostics for an electromechanical device. The method can include receiving data from an electromechanical device regarding a potential issue in the electromechanical device; curating the data with a machine learning model; receiving ground truth data associated with the curated data from a user of the electromechanical device; comparing the curated data with the ground truth data; and optimizing the machine learning model based on the comparing.
    Type: Grant
    Filed: August 4, 2021
    Date of Patent: June 7, 2022
    Assignee: WATSCO VENTURES LLC
    Inventors: Mario A. Cruz, James McKeown, Yigal Akselman