DOCSIS 3.1 Profile Management Application and Algorithms
By Greg White and Karthik Sundaresan,
Cable Television Laboratories, Inc.
|
2016 |
DOCSIS 3.1 Multicast Profile Management Mechanism
By Yanbin Sun, Tao Ouyang, and Hesham ElBakoury,
Huawei Technologies Co.,Ltd.
|
2016 |
Optimizing Video Customer Experience with Machine Learning
By Mariela Fiorenzo, Claudio Righetti, María Cecilia Raggio, Fernando Ochoa & Gabriel Carro, Telecom Argentina S.A.
|
2019 |
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 |
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 |
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 |
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 |
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 |
Machine Learning Applications in Cable TV Advertising: Usage and Challenges
By Srilal M Weerasinghe PhD, Charter Communications
|
2019 |
Using Machine Learning to Automate Node Split Designs and HFC Augmentation Options
By Keith R. Hayes, IMMCO, Inc.
|
2020 |
Demand Side Management Considerations In Advanced Network Deployment
By Dean Ericson, Dan Carter, Media Management Services, Inc.
|
1994 |
