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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
Detection and Classification of OFDMA Spectrum Impairments by Machine Learning
By Jude Ferreira, Comcast; Kevin Dugan, Comcast; Maher Harb, Comcast; Mike O’Dell, Comcast; Larry Wolcott, Comcast
2023
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
Graph Algorithms and Real-Time Telemetry for Intelligent Plant Operations
By Bob Lutz, Comcast; Matthew Stehman, Comcast
2023
Causality Based Instant Root Cause Analysis for Microservices Failure
By Mohamed Sharafath M, Comcast India Engineering Center Praveen Manoharan, Comcast India Engineering Center Aravindakumar Venugopalan, Comcast India Engineering Center
2024
Deploying PMA-Enabled OFDMA in Mid-Split and High-Split
By Maher Harb, Dan Rice, Kevin Dugan, Jude Ferreira, Robert Lund; Comcast
2022
Accounting for Every MHz of Bandwidth: Data & Algorithms for Artifact Discovery and Close-Packing of QAMs in Support of Spectrum Activation
By Maher Harb, Comcast; Wenlong Shen, Comcast; Matt Stehman, Comcast; Sanket Walavalkar, Comcast; Dan Rice, Comcast
2023
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
Alarm Root Cause Analysis using AI/ML in MSO Networks
By Jonathan Kwan, PhD, PEng, Fujitsu Network Communications, Inc.
2024
Towards Fully Automated HFC Spectrum Management
By Jay Zhu, Comcast; Maher Harb, Comcast; Jeff Howe, Comcast; Chad Humble, Comcast; Dan Rice, Comcast
2023
Automating Amplifier Analysis with PNM Full Band Capture, RxMER, for Activation of a Second OFDM Channel
By Maher Harb, Comcast Jude Ferreira, Comcast Larry Wolcott, Comcast Belal Hamzeh, Comcast Kang Lin, Comcast Jon-En Wang, Comcast
2024
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
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
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
2017
Scaling DAA: Smart, Continuous Network Health Monitoring for vCMTS with Machine Learning
By Ilana Weinstein, Comcast; Ramya Narayanaswamy, Comcast; Aaron Tomkins, Comcast; Nivedhitha Sridhar, Comcast
2023
Distributed Access Architecture Is Now Widely Distributed
By Dr. Robert Howald, Frank Eichenlaub & Adi Bonen, Comcast; Tobias Peck, EnerSys
2021