Training Machines to Learn From Signal Meter Readings
By Gary Ventriglia, Jack Birnbaum, Robert Gonsalves, Anastasia Vishnyakova, Michael Kreisel & Larry Wolcott, Comcast Corporation
|
2020 |
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
|
2017 |
Machine Learning Applications in Cable TV Advertising: Usage and Challenges
By Srilal M Weerasinghe PhD, Charter Communications
|
2019 |
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 |
Predicting Service Impairments from Set-top Box Errors in Near Real-Time and What to Do About It
By Justin Watson, Comcast; Roger Brooks, Andrew Colby, Pankaj Kumar, Anant Malhotra & Mudit Jain, Guavus, Inc.
|
2018 |
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
|
2018 |
What Can Your CPE Tell You?
By Bryan Kelly, Comcast Cable
|
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
|
2021 |
Unlocking the Power of Big Data: “The Key Workforce Skills Operator’s Need for the Future of Analytics”
By Steven R. Harris, Society of Cable Telecommunications Engineers, Inc.
|
2023 |
Next Generation Neighbor Interference Prediction Tools
By John Chrostowski, Comcast; Richard Primerano, Comcast; Kang Lin, Comcast; Jay Zhu, Comcast; Javed Nazim, Comcast; Jon-En Wang, Comcast; Dustin Tracy, Comcast
|
2023 |
Sustained Throughput Requirements for Future Residential Broadband Service
By Jeroen Wellen, Prudence Kapauan & Amit Mukhopadhyay, Bell Labs Consulting/Nokia
|
2017 |
Cluster-Based Network Traffic Prediction Pipeline For Big Data Time Series
By Wei Cai, Cox Communication
|
2021 |
Energy Conservation Measure Recommendations for Cable Edge Facilities
By Daniel Marut & Michael Baselice, Comcast; Daniel Howard, George Gosko, Supriya Dharkar, Riebeeck van Niekerk & Tanner McManus, Hitachi; Gregory Baron, US Air Force (formerly with Hitachi)
|
2017 |
Mobile TV: A Technical And Economic Comparison Of Broadcast, Multicast And Unicast Alternatives And The Implications For Cable
By Michael Eagles, UPC Broadband and Tim Burke, Liberty Global Inc.
|
2008 |
“My (TV) Space” – Using Subscriber Management Systems to refine and redefine video-based social networking
By Andrew Poole, Joe Matarese, ARRIS Group, Inc.
|
2009 |
What Technology Will Win In The Battle To Deliver Broadband Video To Customer Devices?
By Dave Lively, Cisco Systems and Marty Roberts, thePlatform
|
2008 |
Return Path Linear Distortion and Its Effect on Data Transmissions
By Tom Williams, Holtzman Inc
|
2000 |
More Than Just The Metadata: How Consumption Data And User Patterns Hold The Key To Personalizing TV
By Peter Docherty, Peter Docherty, Founder and CTO,
ThinkAnalytics
|
2013 |
Analysis And Prediction Of Peak Data Rates Through DOCSIS Cores
By John Holobinko, Glenn McGilvray & John Ritchie, Cisco Systems, Inc.
|
2018 |
Full Duplex DOCSIS over Active (N+X) Cable Networks
By Werner Coomans, Ph.D., Nokia Bell Labs; Rex Coldren, Nokia/Gainspeed
|
2019 |
