Profile Management Informed Proactive Network Maintenance
By Jason Rupe & Jingjie Zhu, CableLabs
|
2020 |
Cable and Mobile Convergence: A Vision from the Cable Communities Around the World
By Jennifer Andréoli-Fang, PhD, CableLabs; John T. Chapman, Ian Campbell, & Mark Grayson, Cisco; Ahmed Bencheikh, Praveen Srivastava & Vikas Sarawat, Charter Communications; Drew Davis & Paul Blaser, Cox Communications; Damian Poltz & Dave Morley, Shaw Communications; Eduardo Panciera, Telecom Argentina; Philippe Perron, Sylvain Archambault, Eric Menu, Géraldine Trouillard & David Lagacé, Videotron; Gavin Young & Bruno Cornaglia, Vodafone
|
2020 |
Leveraging Machine Learning for Network Traffic Forecasting
By Diane Prisca Onguetou, PhD, Independent Consultant; Achintha Maddumabandara, Rogers Communications; Jeffrey Lee, Rogers Communications
|
2023 |
Breaking the Barriers: Abstracting Traffic Management for Superior Quality of Experience in Multi-Technology Networks
By Sebnem Ozer, Ph.D., Charter Communications; Ramneek Bali, Charter Communications; Kamran Yousuf, Charter Communications; Moutaz Elkaissi, Charter Communications
|
2023 |
Exploring Multi-Access Edge Compute in Converging Access Networks
By Andrii Vladyka, Asaf Matatyaou & Howard Abramson, Harmonic Inc.
|
2021 |
Machine Learning Model for Customer Claim Prediction in HFC Subscribers
By Dr. Claudio Righetti, Telecom Argentina S.A.; Matilde Cuenca, Telecom Argentina S.A.; Dr. Diego Martinez Heimann, Telecom Argentina S.A.
|
2023 |
Optimizing Video Customer Experience with Machine Learning
By Mariela Fiorenzo, Claudio Righetti, María Cecilia Raggio, Fernando Ochoa & Gabriel Carro, Telecom Argentina S.A.
|
2019 |
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
|
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 |
Security Issues For Remote Access And Virtual Private Networks Involving Cable Modems
By Daniel Howard, Digital Furnace Corporation
|
1999 |
Intelligent Outside Plant Power Operations with Machine Learning
By Matthew Stehman, Comcast; Chris D’Andrea, Comcast; Ilana Weinstein, Comcast
|
2023 |
Machine Learning Techniques for Equalizing Nonlinear Distortion
By Rob Thompson, Comcast; Xiaohua Li, State University of New York at Binghamton
|
2020 |
Proposal of RF/IP Adaptive Video Distribution Scheme over Cable Television Access Networks
By Yoshitaka Kidani, Hiroyuki Yamashita & Shuichi Matsumoto, Japanese Cable Laboratories
|
2020 |
The Next Evolution in Cable: Converged, Distributed and Virtualized Access Network
By Jorge D. Salinger, VP, Access Architecture,
Comcast Cable
|
2015 |
Coherent Access Applications for MSOs
By Harj Ghuman & David Job, Cox Communications
|
2018 |
Fastest Path to Low Latency Services
By Sebnem Ozer, Ph.D., Comcast
|
2021 |
Operationalizing Streaming Telemetry and Machine Learning Model Serving: Customer Experience Automation
By Nick Pinckernell & Scott Rome, Comcast
|
2020 |
What is 10G – The Technology Foundation
By Dr. Robert Howald, Dr. Sebnem Ozer, Robert Thompson, Saif Rahman, Dr. Richard Prodan & Jorge Salinger, Comcast
|
2019 |
Constructing a Convergence Lab: Lessons Learned From Building a Converged Network at CableLabs
By Matthew Schmitt, CableLabs
|
2020 |
Operational Transformation Via Machine Learning
By Shamil Assylbekov, PhD. & Devin Levy, Charter Communications
|
2018 |
