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Profil

MAI Tieu Long

Main Referenced Co-authors
NAVET, Nicolas  (5)
Migge, Jörn (3)
Main Referenced Keywords
machine learning (3); schedulability analysis (3); Time-Sensitive Networking (TSN) (3); timing verification (3); Design Space Exploration (2);
Main Referenced Disciplines
Computer science (5)

Publications (total 5)

The most downloaded
3029 downloads
Navet, N., Mai, T. L., & Migge, J. (2019). Using Machine Learning to Speed Up the Design Space Exploration of Ethernet TSN networks. University of Luxembourg. https://hdl.handle.net/10993/38604

The most cited

18 citations (Scopus®)

Mai, T. L., Navet, N., & Migge, J. (2019). A Hybrid Machine Learning and Schedulability Method for the Verification of TSN Networks. In 15th IEEE International Workshop on Factory Communication Systems (WFCS2019). IEEE. doi:10.1109/WFCS.2019.8757948 https://hdl.handle.net/10993/38990

Mai, T. L., & Navet, N. (October 2021). Deep Learning to Predict the Feasibility of Priority-Based Ethernet Network Configurations. ACM Transactions on Cyber-Physical Systems, 5 (4), 1–26. doi:10.1145/3468890
Peer Reviewed verified by ORBi

Mai, T. L., & Navet, N. (2021). Improvements to Deep-Learning-based Feasibility Prediction of Switched Ethernet Network Configurations. In The 29th International Conference on Real-Time Networks and Systems (RTNS2021).
Peer reviewed

Mai, T. L., Navet, N., & Migge, J. (2019). A Hybrid Machine Learning and Schedulability Method for the Verification of TSN Networks. In 15th IEEE International Workshop on Factory Communication Systems (WFCS2019). IEEE. doi:10.1109/WFCS.2019.8757948
Peer reviewed

Navet, N., Mai, T. L., & Migge, J. (2019). Using Machine Learning to Speed Up the Design Space Exploration of Ethernet TSN networks. University of Luxembourg.

Mai, T. L., Navet, N., & Migge, J. (2019). On the use of supervised machine learning for assessing schedulability: application to Ethernet TSN. In 27th International Conference on Real-Time Networks and Systems (RTNS 2019). doi:10.1145/3356401.3356409
Peer reviewed

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