Coconut Grove, FL, United States of America

James McKeown

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Innovations by James McKeown

Introduction

James McKeown is an accomplished inventor based in Coconut Grove, Florida. He has made significant contributions to the field of technology with a focus on diagnostic systems. With a total of two patents to his name, McKeown's work is at the intersection of machine learning and practical applications in water metering and electromechanical devices.

Latest Patents

McKeown's latest patents include an "Actionable alerting and diagnostic system for water metering systems." This invention outlines a computer-implemented method for providing explainable diagnostics for water metering systems. The method involves receiving data from the system regarding potential issues, curating this data with a machine learning model, and optimizing the model based on comparisons with ground truth data provided by users.

Another notable patent is the "Actionable alerting and diagnostic system for electromechanical devices." Similar to his water metering system, this invention focuses on providing explainable diagnostics for electromechanical devices. The process includes receiving data about potential issues, curating it with a machine learning model, and optimizing the model based on user-provided ground truth data.

Career Highlights

James McKeown is currently associated with Watsco Ventures LLC, where he continues to innovate and develop new technologies. His work has garnered attention for its practical applications and the integration of advanced machine learning techniques.

Collaborations

Some of McKeown's notable coworkers include Mario A Cruz and Yigal Akselman. Their collaborative efforts contribute to the innovative environment at Watsco Ventures LLC.

Conclusion

James McKeown's contributions to technology through his patents reflect his commitment to improving diagnostic systems in various fields. His work not only enhances the functionality of water metering and electromechanical devices but also showcases the potential of machine learning in practical applications.

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