Machine learning based QoE prediction in SDN networks
Our work in this paper presents a prediction of quality of experience based on full reference
parametric (SSIM, VQM) and application metrics (resolution, bit rate, frame rate) in SDN …
parametric (SSIM, VQM) and application metrics (resolution, bit rate, frame rate) in SDN …
A survey of data-driven approach on multimedia QoE evaluation
R Huang, X Wei, L Zhou, C Lv, H Meng, J ** - Frontiers of Computer …, 2018 - Springer
With the development of mobile communication technology and the growth of mobile device,
the requirements for user quality of experience (QoE) become higher and higher. Network …
the requirements for user quality of experience (QoE) become higher and higher. Network …
Prediction of perceptual quality for mobile video using fuzzy inference systems
Along with the rapid growth in consumer adoption of modern portable devices, video
streaming is expected to dominate a large share of the global internet traffic in the near …
streaming is expected to dominate a large share of the global internet traffic in the near …
Multidimensional qoe prediction of webrtc video communication with machine learning
Abstract Web Real-Time Communication (WebRTC) technology has quickly become
popular as a video conferencing platform since it enables cost-effective peer-to-peer …
popular as a video conferencing platform since it enables cost-effective peer-to-peer …
A survey on prediction of PQoS using machine learning on Wi-Fi networks
Deployment of Wi-Fi networks increases considerably as a last hop for Internet access in
homes and buildings. Wi-Fi as a best-effort network cannot satisfy user expectations for …
homes and buildings. Wi-Fi as a best-effort network cannot satisfy user expectations for …
QoE estimation-based server benchmarking for virtual video delivery platform
This paper introduces a Quality of Experience (QoE) estimation-based server benchmarking
system, which can be utilized as a part of QoE-optimized resource provisioning in our …
system, which can be utilized as a part of QoE-optimized resource provisioning in our …
WBQoEMS: Web browsing QoE monitoring system based on prediction algorithms
A Ben Letaifa - International Journal of Communication …, 2019 - Wiley Online Library
These years, researchers are interested in the web users perceived Quality of Experience
called web QoE. Monitoring web browsing QoE can help service providers to determine if …
called web QoE. Monitoring web browsing QoE can help service providers to determine if …
Intelligent quality of experience (QoE) analysis of network served multimedia and web contents
J Pokhrel - 2014 - theses.hal.science
Today user experience is becoming a reliable indicator for service providers and
telecommunication operators to convey overall end to end system functioning. Moreover, to …
telecommunication operators to convey overall end to end system functioning. Moreover, to …
Random neural network methods and deep learning
Y Yin - Probability in the Engineering and Informational …, 2021 - cambridge.org
The random neural network (RNN) is a mathematical model for an “integrate and fire”
spiking network that closely resembles the stochastic behavior of neurons in mammalian …
spiking network that closely resembles the stochastic behavior of neurons in mammalian …
Machine learning-based end-to-end QoE monitoring using active network probing
G Miranda, E Municio… - … 25th Conference on …, 2022 - ieeexplore.ieee.org
Video on Demand (VoD) is responsible for a significant amount of traffic on IP networks. To
meet users' expectations, network operators need means to monitor and to identify when …
meet users' expectations, network operators need means to monitor and to identify when …