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A Deep Learning Approach for Detecting RF Spectrum Impairments and Conducting Root Cause Analysis
By Kevin Dugan, Justin Evans, Maher Harb; Comcast
2022
Optimizing DOCSIS 3.0 Configuration in the Upstream through Applied Reinforcement Learning
By Kevin Dugan, Maher Harb, Dan Rice & Robert Lund, Comcast
2021
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
2019
Deploying PMA-Enabled OFDMA in Mid-Split and High-Split
By Maher Harb, Dan Rice, Kevin Dugan, Jude Ferreira, Robert Lund; Comcast
2022
Employing Neural Networks for Improved Root Cause Analysis in Service Provider Clouds
By Helen Zeng, Ph.D. & Robert McIntyre, VMware
2020
How Network Topology Impacts Rf Performance: A Study Powered By Graph Representation Of The Access Network
By Maher Harb, Karthik Subramanya, Ramya Narayanaswamy, Sanket Walavalkar & Dan Rice, Comcast
2021
Convolutional Neural Networks for Proactive Network Management
By Jude Ferreira, Maher Harb, Karthik Subramanya, Bryan Santangelo & Dan Rice, Comcast
2020
Full Scale Deployment of PMA
By Maher Harb, Bryan Santangelo, Dan Rice & Jude Ferreira, Comcast
2020
Time is Ripe for D3.0 Farming: Achieving Optimal Spectral Efficiency by Allocating D3.0 Spectrum to OFDM
By Maher Harb, Chad Humble, Sebnem Ozer, Dan Rice; Comcast
2022
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
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
2017
Distributed Access Architecture Is Now Widely Distributed
By Dr. Robert Howald, Frank Eichenlaub & Adi Bonen, Comcast; Tobias Peck, EnerSys
2021
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
2021
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
2016
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
Detecting Video Piracy with Machine Learning
By Matthew Tooley & Thomas Belford, NCTA – The Internet & Television Assocation
2019
Machine Learning Techniques for Equalizing Nonlinear Distortion
By Rob Thompson, Comcast; Xiaohua Li, State University of New York at Binghamton
2020
Full Band Capture Revisited
By Ron Hranac, Cisco Systems; Chad Campbell, Intraway; Roger Fish & Tom Kolze, Broadcom; Even Kristoffersen & Aleksander Soeberg, Telia Norge; James Medlock, Akleza; Jason Rupe & Tom Williams, CableLabs; Paul Schauer & Larry Wolcott, Comcast
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
Training Machines to Learn From Signal Meter Readings
By Gary Ventriglia, Jack Birnbaum, Robert Gonsalves, Anastasia Vishnyakova, Michael Kreisel & Larry Wolcott, Comcast Corporation
2020