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 |
Planned Maintenance Tool (PMT): A Data-Driven Approach to Recommending the Best Time for Planned-Maintenance
By Pete Quesada, Julianne Heinzmann, Nishesh Shukla, Resmi Vijayan, Mike O’Dell, May Merkle-Tan; Comcast Cable
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2022 |
Training Machines to Learn From Signal Meter Readings
By Gary Ventriglia, Jack Birnbaum, Robert Gonsalves, Anastasia Vishnyakova, Michael Kreisel & Larry Wolcott, Comcast Corporation
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2020 |
A Deep Learning Approach for Detecting RF Spectrum Impairments and Conducting Root Cause Analysis
By Kevin Dugan, Justin Evans, Maher Harb; Comcast
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2022 |
Detection and Classification of OFDMA Spectrum Impairments by Machine Learning
By Jude Ferreira, Comcast; Kevin Dugan, Comcast; Maher Harb, Comcast; Mike O’Dell, Comcast; Larry Wolcott, Comcast
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2023 |
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
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2017 |
Machine Learning and Telemetry Improves Outside Plant Power Resiliency for More Reliable Networks
By Stephanie Ohnmacht, Matthew Stehman; Comcast
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2022 |
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
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2021 |
Proactive Network Maintenance (PNM) Paves the Way for More Upstream Bandwidth
By Takashi Hayakawa, Mike O’Dell, Paul Schauer, Larry Wolcott; Comcast
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2022 |
A PNM System Using Artificial Intelligence, HFC Network Impairment, Atmospheric and Weather Data to Predict HFC Network Degradation and Avert Customer Impact
By Larry Wolcott, Michael O'Dell, Peter Kuykendall, Vishnu Gopal, Jason Woodrich & Nick Pinckernell, Comcast
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2018 |
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
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2016 |
Multi Layered Unsupervised Machine Learning for Detection of Real Time Network Service Impairment
By Eric Frishman, Comcast; Devangna Kaushish, Comcast; Russell Harlin, Comcast; Aditya Vallabhajosyula, Comcast; Eswaramoorthy Subramaniam, Comcast
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2023 |
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
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2019 |
Right-sizing Cable Modem Buffers For Maximum Application Performance
By Greg White, CableLabs and Richard Woundy, Yiu Lee, Carl Williams, Comcast
|
2011 |
Bringing Us Together: Impacts of Learning Cohorts in Technician Onboarding
By Abbie E. O’Dell, Charter Communications
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2023 |
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 |
Using Automated Live QC to Reduce Construction Costs and Improve Readiness
By Scott Johnston, Comcast; Anthony Curran, Comcast; Michael O’Dell, Comcast
|
2023 |
Intelligent Outside Plant Power Operations with Machine Learning
By Matthew Stehman, Comcast; Chris D’Andrea, Comcast; Ilana Weinstein, Comcast
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2023 |
Network Capacity and Machine Learning
By Dr. Claudio Righetti, Emilia Gibellini, Florencia De Arca, Carlos Germán Carreño Romano, Mariela Fiorenzo, Gabriel Carro & Fernando Rodrigo Ochoa, Cablevisión S.A.
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2017 |
Convolutional Neural Networks for Proactive Network Management
By Jude Ferreira, Maher Harb, Karthik Subramanya, Bryan Santangelo & Dan Rice, Comcast
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2020 |