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Cross-Layer Effects on Training Neural Algorithms for Video Streaming.

, , and . NOSSDAV, page 43-48. ACM, (2018)

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DeepSHARQ: hybrid error coding using deep learning., , , , and . J. Reliab. Intell. Environ., 9 (3): 283-301 (September 2023)SHARQ: Scheduled HARQ for Time- and Loss-Rate-Sensitive Networks., , and . CCNC, page 640-643. IEEE, (2023)Reducing FEC-Complexity in Cross-Layer Predictable Data Communication., and . CoRR, (2022)Cross-Layer Effects on Training Neural Algorithms for Video Streaming., , and . NOSSDAV, page 43-48. ACM, (2018)Minimal Startup Delay in HAS with Staggered Segments., and . CCNC, page 1-6. IEEE, (2019)Reducing FEC-Complexity in Cross-Layer Predictable Data Communication., and . CCNC, page 1-2. IEEE, (2021)X-Leep: Leveraging Cross-Layer Pacing for Energy-Efficient Edge Systems., , , , , , , and . e-Energy, page 548-553. ACM, (2020)Latency-aware and -predictable Communication with Open Protocol Stacks for Remote Drone Control., , , and . DCOSS, page 304-311. IEEE, (2020)Cross-Layer Pacing for Predictably Low Age of Information., , , , , and . GI-Jahrestagung, volume P-294 of LNI, page 183-184. GI, (2019)DeepHEC: Hybrid Error Coding using Deep Learning., , and . EDCC, page 17-24. IEEE, (2022)