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    Providing QoS and Resiliency for Video Streaming Over MPTCP by Shadi Bikas, Muge Sayit

    Published 2025-01-01
    “…We evaluate the proposed approach using Dynamic Adaptive Streaming over HTTP (DASH), a widely used video streaming application that delivers high-quality media content over the Internet. …”
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    A Lightweight Dual-Stream Network with an Adaptive Strategy for Efficient Micro-Expression Recognition by Xinyu Liu, Ju Zhou, Feng Chen, Shigang Li, Hanpu Wang, Yingjuan Jia, Yuhao Shan

    Published 2025-05-01
    “…In this study, we propose a lightweight dual-stream network with an adaptive strategy for efficient ME recognition. …”
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    Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services by Li’na DU, Li ZHUO, Shuo YANG, Jiafeng LI, Jing ZHANG

    Published 2021-09-01
    “…In recent years, with the continuous release of HTTP adaptive streaming (HAS) video datasets and network trace datasets, the machine learning methods, such as deep learning and reinforcement learning, have been continuously applied to adaptive bit rate (ABR) algorithms, which obtain the optimal strategy of rate control through interactive learning, and achieve superior performance that surpasses the traditional heuristic methods.Based on the analysis of the research difficulties of ABR algorithms, the research advances of ABR algorithms based on reinforcement learning (including deep reinforcement learning) was investigated.Furthermore, several representative HAS video datasets and network trace datasets were summarized, the evaluation metrics of the performance were depicted.Finally, the existing problems and the future tendency of ABR research were discussed.…”
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  12. 32

    Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services by Li’na DU, Li ZHUO, Shuo YANG, Jiafeng LI, Jing ZHANG

    Published 2021-09-01
    “…In recent years, with the continuous release of HTTP adaptive streaming (HAS) video datasets and network trace datasets, the machine learning methods, such as deep learning and reinforcement learning, have been continuously applied to adaptive bit rate (ABR) algorithms, which obtain the optimal strategy of rate control through interactive learning, and achieve superior performance that surpasses the traditional heuristic methods.Based on the analysis of the research difficulties of ABR algorithms, the research advances of ABR algorithms based on reinforcement learning (including deep reinforcement learning) was investigated.Furthermore, several representative HAS video datasets and network trace datasets were summarized, the evaluation metrics of the performance were depicted.Finally, the existing problems and the future tendency of ABR research were discussed.…”
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    Article
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