Predicting Service Impairments from Set-top Box Errors in Near Real-Time and What to Do About It
By Justin Watson, Comcast; Roger Brooks, Andrew Colby, Pankaj Kumar, Anant Malhotra & Mudit Jain, Guavus, Inc.
|
2018 |
Customer First: CX-Driven Augmented Operations
By Roger Brooks, Ph.D., Pankaj Kumar, Mudit Jain, Megha Vij, Nandit Jain & Andrew Colby, Guavus
|
2019 |
Low Complexity Real-time Video Encoding for Soft Set-Top Box Platforms
By Krasimir Kolarov, Feei Chung, William Lynch, Interval Research Corporation
|
2000 |
Voice Control of Set-Top Box for Customers with Non-Standard Speech
By Adina Halter, Comcast; Sara Smolley, Voiceitt
|
2022 |
Cost Effective Watermarking In The Set Top Box
By Joseph Oren, Cinea Inc. a Dolby Company
|
2008 |
Employing Neural Networks for Improved Root Cause Analysis in Service Provider Clouds
By Helen Zeng, Ph.D. & Robert McIntyre, VMware
|
2020 |
Evolving The “Box”: The Smart Set-Top Box
By David Goodwin & Charles Cheevers, ARRIS
|
2018 |
Embracing Service Delivery Changes with Machine Learning
By Andrew Sundelin, Guavus, Inc.
|
2018 |
The Evolution Towards Autonomous Networks
By Claudio Righetti, Mariela Fiorenzo, Emilia Gibellini & Martin Juiz, Telecom Argentina S.A.
|
2021 |
Considerations For A Real Time Broadband Delivered Interactive Gaming Service
By Charles H. Jablonski, OnLive Inc.
|
2010 |
New Developments In IEEE-1394 Standards For The Cable Set-Top Box
By Mark Eyer, Sony Electronics
|
2003 |
Implement Closed-Loop Network Decisioning Now with Big Data Analytics and Fuel Future-State SDN Use Cases Through a Common Platform Deployment
By Brennen Lynch and Anukool Lakhina, Guavus, Inc.
|
2014 |
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 |
Manipulating Memory In Set-Top Boxes: Getting The Most For Your Money
By Haig Krakirian, Pioneer Digital Technologies, Inc.
|
2002 |
Operational Characteristics Of Modern Set-Top Terminals
By James O. Farmer, Scientific-Atlanta, Inc.
|
1984 |
Training Machines to Learn From Signal Meter Readings
By Gary Ventriglia, Jack Birnbaum, Robert Gonsalves, Anastasia Vishnyakova, Michael Kreisel & Larry Wolcott, Comcast Corporation
|
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 |
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 |
Minimizing Memory Cost In Set-Top Boxes
By Jeff Mitchell, Rambus Inc
|
1996 |
Artificial Intelligence in Real-Time Video Encoding from Theoretical Promises to Operational Gains
By Jan De Cock, Synamedia
|
2022 |
