Quality estimation for DASH clients by using Deep Recurrent Neural Networks

Author:

Kheibari Bita,Sayit Muge

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ML-based pre-deployment SDN performance prediction with neural network boosting regression;Expert Systems with Applications;2024-05

2. Deep Reinforcement Learning-Based Approach for Video Streaming: Dynamic Adaptive Video Streaming over HTTP;Applied Sciences;2023-10-26

3. Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH);IEEE Transactions on Network and Service Management;2022-12

4. Real-Time Monitoring of Video Quality in a DASH-based Digital Video Broadcasting using Deep Learning;2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2022-08-04

5. ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks;NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium;2022-04-25

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