This inventor holds 1 USPTO granted patent. Top assignee: Battelle Memorial Institute. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Innovations of Kristine M Arthur
Introduction
Kristine M Arthur is an accomplished inventor based in West Lafayette, IN (US). She has made significant contributions to the field of network analysis through her innovative patent. Her work focuses on utilizing deep learning to enhance the understanding of dependencies between network assets.
Latest Patents
Kristine 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 can discover functional relationships based on the identified dependencies, allowing for a more comprehensive analysis of network interactions. The process involves pre-processing network flow information to create input vectors, using deep learning to extract patterns, and updating assessments of dependencies in near real-time.
Career Highlights
Kristine is currently associated with Battelle Memorial Institute, where she applies her expertise in network analysis and deep learning. Her innovative approach has positioned her as a key figure in her field, contributing to advancements in network asset management.
Collaborations
Some of her notable coworkers include Thomas E Carroll and Satish Chikkagoudar, who collaborate with her on various projects within the institute.
Conclusion
Kristine M Arthur's work exemplifies the intersection of technology and innovation in network analysis. Her contributions through her patent demonstrate the potential of deep learning in understanding complex network dependencies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
