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 |
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 |
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 |
Headend Techniques For Reducing Distortion In Distribution Systems
By William T. Homiller, General Instrument Jerrold Division
|
1983 |
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 |
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 |
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
|
2021 |
Encourage EVERY Employee to Learn and Utilize Data, Analytics, and Machine Learning (DAML)
By Robert Gray Wald, MS, SCTE® a subsidiary of CableLabs®
|
2022 |
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 |
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 |
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 |
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 |
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 |
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 |
