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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
2023
Rapid and Automated Production Scale Activation of Expanded Upstream Bandwidth
By Rob Thompson, Rob Howald, John Chrostowski, Dan Rice, Amarildo Vieira, Rohini Vugumudi & Zhen Lu, Comcast Cable
2021
Embracing Service Delivery Changes with Machine Learning
By Andrew Sundelin, Guavus, Inc.
2018
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
Breathing New Lifespan into HFC: Tools, Techniques, and Optimizations
By Dr. Robert L. Howald, ARRIS
2013
CATV Distortion Measurement Techniques
By Jerald S. Crusan
1972
Leveraging Machine Learning for Network Traffic Forecasting
By Diane Prisca Onguetou, PhD, Independent Consultant; Achintha Maddumabandara, Rogers Communications; Jeffrey Lee, Rogers Communications
2023
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
2023
Headend Techniques For Reducing Distortion In Distribution Systems
By William T. Homiller, General Instrument Jerrold Division
1983
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
2021
The New Explosion of Social Engineering: Defensive Techniques to Manage the Risk
By Abdul Saleem, Comcast India Engineering Center; Poornasakthi Sivaraman, Comcast India Engineering Center
2023
Encourage EVERY Employee to Learn and Utilize Data, Analytics, and Machine Learning (DAML)
By Robert Gray Wald, MS, SCTE® a subsidiary of CableLabs®
2022
Operational Transformation Via Machine Learning
By Shamil Assylbekov, PhD. & Devin Levy, Charter Communications
2018
Turning On A Dime: The New Landscape Of Adult Learning
By Shiloh McCoy & Abbie O’Dell, Charter Communications
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
2022
Toward Automated Intelligent Resource Optimization for vCMTS Using Machine Learning
By Kieran Mulqueen, Michael O’Hanlon, Marcin Spoczynski, Brendan Ryan, Thijs Metsch, Leonard Feehan & Ruth Quinn, Intel
2018
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
Distortion Beat Characterization and the Impact on QAM BER Performance
By D. Stoneback, R. Howald and T. Brophy, GE and O. Sniezko , AT&T Broadband & Internet Services
1999
Machine Learning Applications in Cable TV Advertising: Usage and Challenges
By Srilal M Weerasinghe PhD, Charter Communications
2019
Roaring into the ‘20s with 10G
By Dr. Robert Howald, Robert Thompson, Sebnem Ozer, Daniel Rice & Larry Wolcott, Comcast; Dr. Tom Cloonan, Dr. Ruth Cloonan & John Ulm, CommScope; Jan Ariesen, Technetix
2020