Machine Learning and Telemetry Improves Outside Plant Power Resiliency for More Reliable Networks
By Stephanie Ohnmacht, Matthew Stehman; Comcast
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2022 |
Intelligent Outside Plant Power Operations with Machine Learning
By Matthew Stehman, Comcast; Chris D’Andrea, Comcast; Ilana Weinstein, Comcast
|
2023 |
A New Model for Power Plant and Health Estimation
By Kang Lin, PhD, Michael Nispel; Comcast
|
2022 |
Graph Algorithms and Real-Time Telemetry for Intelligent Plant Operations
By Bob Lutz, Comcast; Matthew Stehman, Comcast
|
2023 |
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
|
2019 |
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
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2021 |
Operationalizing Streaming Telemetry and Machine Learning Model Serving: Customer Experience Automation
By Nick Pinckernell & Scott Rome, Comcast
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2020 |
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
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2023 |
Solving The Mysteries of the Distributed Access Architecture
By Matthew Stehman, Ramya Narayanaswamy, Jude Ferreira & Robert Gaydos, Comcast
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2021 |
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
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2022 |
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
|
2017 |
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
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2016 |
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
|
2021 |
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
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2023 |
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
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2018 |
Machine Learning Techniques for Equalizing Nonlinear Distortion
By Rob Thompson, Comcast; Xiaohua Li, State University of New York at Binghamton
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2020 |
Detecting Video Piracy with Machine Learning
By Matthew Tooley & Thomas Belford, NCTA – The Internet & Television Assocation
|
2019 |
Scaling DAA: Automated Network Health Check for vCMTS Platform
By Marissa Eppes, Ilana Weinstein, Matthew Stehman; Comcast
|
2022 |
Message Queuing Telemetry Transport For IoT Devices: Less is More
By Sweety Bertilla, Kristopher Linquist & Robert Farnum, Comcast Cable
|
2021 |
Weaving Real-Time Fiber Data Analysis Into a Reliable Network
By Matthew Wichman, Comcast; Venk Mutalik, Comcast; Errol D’Souza, Comcast; Josh Cook, Comcast
|
2023 |
