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ORCIDTailai Song
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2020 – today
- 2024
[j1]Tailai Song
, Paolo Garza, Michela Meo, Maurizio M. Munafò:
DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes. Comput. Networks 249: 110507 (2024)- [c5]Tailai Song, Gianluca Perna, Paolo Garza, Michela Meo, Maurizio Matteo Munafò:
BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications. CCNC 2024: 65-70 - [c4]Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò:
Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes. ISCC 2024: 1-7 - [c3]Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò:
Towards the Detection of Unobservable Losses in Real-Time Communications. LANMAN 2024: 21-26 - [c2]Tailai Song, David Lopez, Michela Meo, Nicola Piovesan, Daniela Renga:
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. WCNC 2024: 1-6 - [i2]Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò:
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications. CoRR abs/2410.15846 (2024) - 2023
- [c1]Tailai Song, Dena Markudova, Gianluca Perna, Michela Meo:
Where Did My Packet Go? Real-Time Prediction of Losses in Networks. ICC 2023: 3836-3841 - [i1]Tailai Song, David Lopez, Michela Meo, Nicola Piovesan, Daniela Renga:
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. CoRR abs/2307.00969 (2023)
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