Detecting Video Piracy with Machine Learning
By Matthew Tooley & Thomas Belford, NCTA – The Internet & Television Assocation
|
2019 |
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 |
Data Collection, Interpretation Methodologies, and Challenges for Proactive Network Maintenance
By James Medlock, Akleza, Inc.; Ron Hranac, SCTE; Allen Maharaj, Rogers; Alexander Podarevsky, Promptlink Communications; Jason Rupe, CableLabs; Foad Towfiq, Promptlink Communications; Brady Volpe, Volpe Firm
|
2023 |
Embracing Service Delivery Changes with Machine Learning
By Andrew Sundelin, Guavus, Inc.
|
2018 |
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
|
2016 |
Field Experiences with US OFDMA and Using US Profile Management
By Karthik Sundaresan & Jay Zhu, CableLabs; João Pedro Fernandes, NOS
|
2020 |
Multi Layered Unsupervised Machine Learning for Detection of Real Time Network Service Impairment
By Eric Frishman, Comcast; Devangna Kaushish, Comcast; Russell Harlin, Comcast; Aditya Vallabhajosyula, Comcast; Eswaramoorthy Subramaniam, Comcast
|
2023 |
Unleashing Fiber Capacity by Jointly Optimizing D3.1 and RFoG Parameters
By Venk Mutalik & Brent Arnold Benny Lewandowski, ARRIS; Phil Miguelez, Comcast; Mike Cooper, Cox
|
2017 |
Accurately Estimating D3.1 Channel Capacity
By Karthik Sundaresan, CableLabs
|
2017 |
FDX & D3.1 Capacity Scenarios
By Karthik Sundaresan, CableLabs
|
2018 |
Machine Learning Techniques for Equalizing Nonlinear Distortion
By Rob Thompson, Comcast; Xiaohua Li, State University of New York at Binghamton
|
2020 |
Fastest Path to Low Latency Services
By Sebnem Ozer, Ph.D., Comcast
|
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 |
Operational Transformation Via Machine Learning
By Shamil Assylbekov, PhD. & Devin Levy, Charter Communications
|
2018 |
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
|
2021 |
What Can Your CPE Tell You?
By Bryan Kelly, Comcast Cable
|
2019 |
Towards Predictable Low Latency DOCSIS Services
By Dan Rice, Comcast; Sebnem Ozer, Ph.D., Comcast; James Martin, Ph.D., Clemson University
|
2022 |
What Gets Measured Gets Done / What Gets Analyzed Gets Transformed: Analytics for a Wider/Deeper Network View
By Venk Mutalik, Dan Rice, Karthik Subramanya & Jon-en Wang, Comcast
|
2018 |
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 |
Hybrid Fiber Coaxial (HFC) Spectrum Efficiency and Quality - Systematically Evolving Networks using Profile Management Platform (PMA)
By Jay Liew, Charter Communications
|
2022 |
