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Machine learning assisted real-time DASH video QoE estimation technique for encrypted traffic.

, and . MHV, page 123. ACM, (2022)

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Optimal and approximate approaches for selecting proxy agents in mobile IP based network backbone., , and . J. Parallel Distributed Comput., 64 (4): 554-568 (2004)Machine Learning Approach to Estimate Video QoE of Encrypted DASH Traffic in 5G Networks., , and . SSP, page 586-589. IEEE, (2021)On the grooming of multicast traffic in WDM networks., and . ISCC, page 76-81. IEEE Computer Society, (2004)A Hybrid Machine Learning Framework to Predict Early Risk of Mortality in Paralytic Ileus Patients using Electronic Health Records., , , , and . medRxiv, (2019)Establishing Trustworthy Rational Friendships in Social Internet of Things., , and . ICOIN, page 318-327. IEEE, (2023)Intent-based Control Loop for DASH Video Service Assurance using ML-based Edge QoE Estimation., , , , , , and . NetSoft, page 353-355. IEEE, (2020)YouTube goes 5G: Benchmarking YouTube in 4G vs 5G., , and . (December 2022)DASH QoE Performance Evaluation Framework with 5G Datasets., , , , , and . CNSM, page 1-6. IEEE, (2020)Correction to: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)., , , , , , , and . J. Ambient Intell. Humaniz. Comput., 14 (10): 14367 (October 2023)Data aggregation and routing in Wireless Sensor Networks: Optimal and heuristic algorithms., , and . Comput. Networks, 53 (7): 945-960 (2009)