Research Area: Artificial Intelligence
It is now clear that machine learning will be widely used in future telecommunication networks as it is increasingly used in todays networks. However, despite its increasing application and its enormous potential, there are still many areas in which the new techniques developed in the area of machine learning are not yet fully utilized.
The aim of this thesis is to present the application of innovative techniques of machine learning (ML-Machine Learning) in the field of Telecommunications, and specifically to problems related to the analysis and prediction of traffic in data networks.
With this objective, this thesis provides advances in the application of machine learning techniques to the area of NTAP. These advances consist of Development of new machine learning models and architectures for NTAP - Define new ways to structure and transform training data so that existing machine learning models can be applied to specific NTAP problems.
Name of the Researcher: Lopez Martin, Manuel
Name of the Supervisor(s): Carro Martinez
Year of Completion: 2019
University: University of Valladolid
Thesis Link: Home Page Url
