Using Machine Learning to Automate Node Split Designs and HFC Augmentation Options
By Keith R. Hayes, IMMCO, Inc.
|
2020 |
The Intersection of HFC and 5G
By Keith R. Hayes, Broadband Advisors Group, LLC
|
2017 |
Capacity Planning, Traffic Engineering, and HFC Plant Evolution for the Next 25 Years
By Tom Cloonan, Ayham Al-Banna, Frank O’Keeffe & John Ulm, CommScope; Ruth Cloonan, BlueOpus
|
2019 |
Lessons From Telco & Wireless Providers: Extending The Life Of The HFC Plant With New Technologies
By Tom Cloonan, Ayham Al-Banna, Mike Emmendorfer,
Zoran Maricevic, Frank O’Keeffe, and John Ulm,
ARRIS Group, Inc.
|
2015 |
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
|
2016 |
Embracing Service Delivery Changes with Machine Learning
By Andrew Sundelin, Guavus, Inc.
|
2018 |
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
|
2017 |
Network Capacity and Machine Learning
By Dr. Claudio Righetti, Emilia Gibellini, Florencia De Arca, Carlos Germán Carreño Romano, Mariela Fiorenzo, Gabriel Carro & Fernando Rodrigo Ochoa, Cablevisión S.A.
|
2017 |
Adaptive Power Management for Node Clusters
By Fernando X. Villarruel, Michael Mobley & Curt Dalton, Cisco Systems, Inc.; Lamar West, Ph.D., LEW Consulting, LLC
|
2018 |
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 |
Operationalizing Streaming Telemetry and Machine Learning Model Serving: Customer Experience Automation
By Nick Pinckernell & Scott Rome, Comcast
|
2020 |
Options for High-Efficiency HFC Return Architectures
By Eric Schweitzer, PhD, Harmonic Inc.
|
1999 |
Optimizing Video Customer Experience with Machine Learning
By Mariela Fiorenzo, Claudio Righetti, María Cecilia Raggio, Fernando Ochoa & Gabriel Carro, Telecom Argentina S.A.
|
2019 |
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
|
2016 |
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 |
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 |
Machine Learning Techniques for Equalizing Nonlinear Distortion
By Rob Thompson, Comcast; Xiaohua Li, State University of New York at Binghamton
|
2020 |
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 |