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Intelligent Outside Plant Power Operations with Machine Learning
By Matthew Stehman, Comcast; Chris D’Andrea, Comcast; Ilana Weinstein, Comcast
2023
Machine Learning and Telemetry Improves Outside Plant Power Resiliency for More Reliable Networks
By Stephanie Ohnmacht, Matthew Stehman; Comcast
2022
Photon Avatars in the Comcast Cosmos: An End-to-End View of Comcast Core, Metro and Access Networks
By Venk Mutalik, Steve Ruppa, Fred Bartholf, Bob Gaydos, Steve Surdam, Amarildo Vieira, Dan Rice; Comcast
2022
Scaling DAA: Smart, Continuous Network Health Monitoring for vCMTS with Machine Learning
By Ilana Weinstein, Comcast; Ramya Narayanaswamy, Comcast; Aaron Tomkins, Comcast; Nivedhitha Sridhar, Comcast
2023
Graph Algorithms and Real-Time Telemetry for Intelligent Plant Operations
By Bob Lutz, Comcast; Matthew Stehman, Comcast
2023
Causality for Customer Experience Anomalies with Real-Time vCMTS Telemetry and Machine Learning
By Ilana Weinstein, Comcast Ramya Narayanaswamy, Comcast Federica Mutti, Comcast Aaron Tomkins, Comcast
2024
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
2017
A New Model for Power Plant and Health Estimation
By Kang Lin, PhD, Michael Nispel; Comcast
2022
Comcast Underground: Innovative Fiber Deployments Over Existing Underground Critical Infrastructure
By Venk Mutalik, Pat Wike, Doug Combs, Alan Gardiner, Dan Rice; Comcast
2022
Two Years Of Deploying ITV/EBIF Applications – Comcast’s Lessons Learned
By Robert Dandrea, Ph.D., Comcast Cable
2010
Key Learnings from Comcast’s Use of Open Source Software in the Access Network
By Louis Donofrio & Qin Zang, Comcast Cable; Vignesh Ramamurthy, Infosys Consulting
2020
Scaling DAA: Automated Network Health Check for vCMTS Platform
By Marissa Eppes, Ilana Weinstein, Matthew Stehman; Comcast
2022
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
2021
Operational Practices for Energy Conservation/Sustainability Measures in the Cable Outside Plant
By Daniel Howard, Enunciant, LLC; Chris Day, Analog Devices; Kevin Gantt, CommScope; John Holobinko, Cisco; Rob Howald & Dan Marut, Comcast; Dick Kirsche, ConsultKirsche; Todd Loeffelholz, Alpha; Kathleen Miles, PG&E; Rene Spee, Coppervale; Dean Stoneback, SCTE•ISBE; John Ulm, Arris; Lamar West & Dan Whitehouse, Hitachi Consulting
2018
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
2019
Solving The Mysteries of the Distributed Access Architecture
By Matthew Stehman, Ramya Narayanaswamy, Jude Ferreira & Robert Gaydos, Comcast
2021
Right Technician at the Right Time: Using Machine Learning to Predict Network Maintenance Issues
By Anastasia Vishnyakova, Rama Mahajanam, Mike O’Dell, May Merkle-Tan, Catherine Hay & Lisa Pham, Comcast Cable
2021
Hattery Will Get You Everywhere
By Dr. Robert Howald, Comcast; John Chrostowski, Comcast; Chris Marinangeli, Comcast; Dr. Richard Primerano, Comcast
2024
Dynamic Deep Cycling Testing: The Use of Dynamic Deep Cycling Testing to Predict Battery State-of-Health in Outside Plant Environments
By Michael Nispel, Comcast Cable; Alexander Falcon, Comcast Cable; Kang Lin, Comcast Cable; Paul Schauer, Comcast Cable; Cory Thompson, Comcast Cable
2023
Machine Learning Techniques for Equalizing Nonlinear Distortion
By Rob Thompson, Comcast; Xiaohua Li, State University of New York at Binghamton
2020