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IoT Big-data-based network performance analytics
The main objective of the project is to upgrade the existing system at Cheetah Networks to make use of Canadian cellular CAT M1 monitored network data to develop innovative QoE analytics that can be used to provide actionable insights. The system will explore applying new techniques to capture in real-time QoE visibility into experiences locally, regionally and nationally. The primary methodologies that we will be employing are based on machine learning and deep learning techniques for data classification, clustering and analysis.
Faculty Supervisor:
Azzedine Boukerche
Student:
Safa Otoum
Partner:
Cheetah Networks
Discipline:
Engineering - computer / electrical
Sector:
Information and communications technologies
University:
University of Ottawa
Program:
Accelerate
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