Machine learning assisted DASH video QoE inference through network QoS features in 4G and 5G scenarios

Abstract

Without his innovative ideas, thoughtful encouragement, and careful supervision, this thesis would never have taken shape. I want to express my gratitude for being a great instructor and for the confidence to work closely with his stellar group of students and collaborators. At the University of Campinas (Unicamp), I have had the opportunity to learn from the best professors. I want to acknowledge Dr. Sandra Avila, Dr. Nelson Fonseca, and Dr. Tiago Fernandes Tavares for sharing their knowledge and experience, which was a constant motivation throughout this work. I am also grateful to Dr. Jason Quinlan from Ireland, who helped me a lot to ease my experimental setup. I would also like to thank Dr.