Quality of experience-aware application deployment in fog computing environments using machine learning. [PDF]
Jenifer P, Angela Jennifa Sujana J.
europepmc +1 more source
Reliable QoE Prediction in IMVCAs Using an LMM-Based Agent. [PDF]
Sidorov M +4 more
europepmc +1 more source
ACVIM-endorsed statement: consensus statement and systematic review on guidelines for the diagnosis and treatment of chronic inflammatory enteropathy in dogs. [PDF]
Heilmann RM +7 more
europepmc +1 more source
Immersive Teleoperation via Collaborative Device-Agnostic Interfaces for Smart Haptics: A Study on Operational Efficiency and Cognitive Overflow for Industrial Assistive Applications. [PDF]
Hernandez-Gobertti F +4 more
europepmc +1 more source
Advanced Clustering for Mobile Network Optimization: A Systematic Literature Review. [PDF]
Nawej CM, Owolawi PA, Walingo TM.
europepmc +1 more source
Patient report outcome measures for Spanish-speaking adults with bronchiectasis: systematic review of measurement properties. [PDF]
Hamam-Alcober Y +3 more
europepmc +1 more source
End-to-End Teleoperated Driving Video Transmission Under 6G with AI and Blockchain. [PDF]
Frontelo IB +3 more
europepmc +1 more source
Empirical studies of Quality of Experience (QoE) : A Systematic Literature Survey
Quality of Experience (QoE) is a relatively new phenomenon. The main focus of this thesis has been to conduct a systematic literature survey of research done in the field of QoE over a ten year period. The method, developed by A. Fink, has been used to survey empirical studies.
openaire +1 more source
Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems. [PDF]
Nishad DK +5 more
europepmc +1 more source
User Quality of Experience (QoE) prediction in Heterogeneous Mobile Networks [PDF]
openaire +1 more source

