Thomas Neal Payne

Title: Thomas Neal Payne: Innovator in Predictive Modeling

Introduction

Thomas Neal Payne is an accomplished inventor based in Austin, TX. He holds three patents that showcase his expertise in predictive modeling and anomaly detection. His innovative work has significant implications for automated systems and user interactions.

Latest Patents

One of Thomas Neal Payne's latest patents focuses on utilizing predictive modeling to identify anomaly events. This patent outlines approaches for a prediction model that determines whether an authorized user is associated with at least one anomaly event. The system can receive data from various sources, including monitored units in automated storage and retrieval locations. It also processes request data related to the execution of monitored controlled units by authorized users. The prediction model utilizes this data to ascertain if the authorized user is linked to any anomaly events, particularly concerning the diversion of monitored units away from target users. The system then presents this prediction for further analysis.

Career Highlights

Thomas Neal Payne has made significant contributions to the field of predictive modeling through his work at C/hca, Inc. His innovative approaches have enhanced the understanding of user behavior in automated systems. His patents reflect a commitment to improving technology and user experience.

Collaborations

Throughout his career, Thomas has collaborated with notable colleagues, including Scott Murray and Dan Nguyen. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge solutions.

Conclusion

Thomas Neal Payne is a prominent figure in the realm of predictive modeling and anomaly detection. His patents and collaborative efforts continue to influence advancements in automated systems. His work exemplifies the impact of innovation on technology and user interaction.