This inventor holds 1 USPTO granted patent. Top assignee: Battelle Memorial Institute. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: Innovations by Daniel M Johnson
Introduction
Daniel M Johnson is an accomplished inventor based in Kennewick, WA (US). He has made significant contributions to the field of network analysis through his innovative patent. His work focuses on utilizing deep learning to enhance the understanding of dependencies between network assets.
Latest Patents
Daniel M Johnson holds a patent titled "Extracting dependencies between network assets using deep learning." This patent describes a network analysis tool that receives network flow information and employs deep learning techniques to identify dependencies between network assets. The tool processes network flow information to produce input vectors, extracts patterns, and determines dependencies based on these patterns. This process can be repeated to update assessments of dependencies on a near real-time basis.
Career Highlights
Daniel is currently associated with Battelle Memorial Institute, where he applies his expertise in network analysis and deep learning. His innovative approach has positioned him as a valuable asset in the field of technology and network management.
Collaborations
Some of his notable coworkers include Thomas W Edgar and Kiri J Oler, who contribute to the collaborative environment at Battelle Memorial Institute.
Conclusion
Daniel M Johnson's work exemplifies the intersection of deep learning and network analysis, showcasing his innovative spirit and dedication to advancing technology. His contributions are paving the way for more efficient network management solutions.