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 |
Considerations for Moving Your Access Network to the Cloud (and Back)
By Michael O’Hanlon, Eric Heaton, Brendan Ryan, Richard Walsh, David Coyle, Pavel Belitskiy & Subhiksha Ravisundar, Intel Corporation – Network Platforms Group; Randy Levensalor, CableLabs
|
2021 |
How VCMTS Paves The Way For 5G Over DOCSIS
By Brendan Ryan, Ed Dylag, Thushara Hewavithana & Eric Heaton, Intel Corporation
|
2021 |
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
|
2016 |
Automation of Virtual CCAP to Reduce OpEx and Enable New Revenue Streams in the Access Network
By Michael O’Hanlon & Eric Heaton, Intel Corporation – Network Platforms Group
|
2018 |
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
|
2017 |
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 |
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
|
2016 |
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 |
Humanoids Optional: Deploying vCMTS at Scale with Automation
By Bhanu Krishnamurthy & Gregory Medders, Comcast
|
2021 |
Using Machine Learning to Automate Node Split Designs and HFC Augmentation Options
By Keith R. Hayes, IMMCO, Inc.
|
2020 |
Optimizing Video Customer Experience with Machine Learning
By Mariela Fiorenzo, Claudio Righetti, María Cecilia Raggio, Fernando Ochoa & Gabriel Carro, Telecom Argentina S.A.
|
2019 |
Closed Loop Capacity Optimization for Extended Spectrum DOCSIS
By Dr. Thushara Hewavithana, Intel Corporation; Dr. Rainer Strobel; Nader Foroughi, Shaw Communications Inc
|
2020 |
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
|
2019 |
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
|
2021 |
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 |
Improving Pedestrian Safety using Computer Vision, Machine Learning and Data Analytics
By Parmjit Dhillon, Mohamed Daoud & Hossam Hmimy, Charter Communications Inc.
|
2021 |
Operational Transformation Via Machine Learning
By Shamil Assylbekov, PhD. & Devin Levy, Charter Communications
|
2018 |
Detecting Video Piracy with Machine Learning
By Matthew Tooley & Thomas Belford, NCTA – The Internet & Television Assocation
|
2019 |
Leveraging Machine Intelligence and Operations Analytics
By Andrew Sundelin, Guavus
|
2017 |
