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Preventive Maintenance for Cable Networks
In this project, we build on these preliminary works and explore the capabilities of different machine learning techniques anomaly detections and predictions of network degradation issues. We also plan to develop ap-proaches to help Cable Network Operation teams triage and diagnose cable network issues efficiently. The results of this project will help Cable Network companies anticipate on networks degradation issues, allowing their Network Operation professionals to proactively fix the issues before they can manifest in the field and im-pact end-users.
Faculty Supervisor:
Foutse Khomh
Student:
Partner:
COGECO
Discipline:
Computer science
Sector:
Information and cultural industries
University:
Polytechnique Montréal
Program:
Accelerate
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