Optimizing Video Customer Experience with Machine Learning
By Mariela Fiorenzo, Claudio Righetti, María Cecilia Raggio, Fernando Ochoa & Gabriel Carro, Telecom Argentina S.A.
|
2019 |
Intelligent Outside Plant Power Operations with Machine Learning
By Matthew Stehman, Comcast; Chris D’Andrea, Comcast; Ilana Weinstein, Comcast
|
2023 |
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
|
2016 |
Next Generation - Cable Access Network
By M. Emmendorfer, S. Shupe, D. Cummings, T. Cloonan Contributors: Z. Maricevic, M.
Schemmann, B. Dawson, V. Mutalik, J.Howe, A. Al-Banna,and F. O'Keeffe, ARRIS
|
2011 |
Distributed Digital HFC Architecture Expands Bi-Directional Capacity
By Oleh Sniezko, Doug Combs, Rei Brockett, Aurora Networks, Inc.
|
2013 |
Detecting Video Piracy with Machine Learning
By Matthew Tooley & Thomas Belford, NCTA – The Internet & Television Assocation
|
2019 |
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
|
2019 |
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 |
Leveraging Machine Learning for Network Traffic Forecasting
By Diane Prisca Onguetou, PhD, Independent Consultant; Achintha Maddumabandara, Rogers Communications; Jeffrey Lee, Rogers Communications
|
2023 |
Artificial Intelligence (AI)-Based Cross-Platform Node Name Mapping (Cmap-NN)
By Jordan Kupersmith, Cox Communications; Wei Cai, Cox Communications; Jeonpaolo Barvez, Cox Communications; Pavan Chandrashekar, Cox Communications; Richard Brown, Cox Communications
|
2023 |
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 |
Machine Learning Techniques for Equalizing Nonlinear Distortion
By Rob Thompson, Comcast; Xiaohua Li, State University of New York at Binghamton
|
2020 |
Bringing the Mid-Split Factory Online to Rapidly Produce Terabytes
By Serge Kasongo, Comcast, Field Operations; Dr. Robert Howald, Comcast, CONNECT; John Chrostowski, Comcast; Robert Thompson, Comcast
|
2022 |
Best Practices for A/B Testing Machine Learning Models
By Piper Williams, Charter Communications; Ryan Lewis, Charter Communications; Miranda Kroehl, Charter Communications; Veronica Bloom, Charter Communications; Brock Bose, Charter Communications
|
2023 |
Machine Learning and Telemetry Improves Outside Plant Power Resiliency for More Reliable Networks
By Stephanie Ohnmacht, Matthew Stehman; Comcast
|
2022 |
Bringing Home the Bandwidth: Optimal HFC Access Architectures for New Builds
By Chris Bonang, Harmonic, Inc.
|
2000 |
Machine Learning Applications in Cable TV Advertising: Usage and Challenges
By Srilal M Weerasinghe PhD, Charter Communications
|
2019 |
Exploiting HFC Bandwidth Capacity To Compete With FTTH
By Tony Werner, Liberty Global, Inc. and Oleh J. Sniezko, Aurora Networks, Inc.
|
2006 |
Closed Loop Capacity Optimization for Extended Spectrum DOCSIS
By Dr. Thushara Hewavithana, Intel Corporation; Dr. Rainer Strobel; Nader Foroughi, Shaw Communications Inc
|
2020 |
What It Takes to Automate Operations at Scale
By Dr. Sung-eun Kim & Richard Brown, Cox Communications, Inc.
|
2021 |
