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Omar Nassef
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2020 – today
- 2024
- [j4]Omar Nassef, Stephen H. Johnson, Toktam Mahmoodi:
Per-Packet Partial Reliability at the Transport Layer for Multipath Networks. IEEE Commun. Mag. 62(7): 112-116 (2024) - [c4]Omar Nassef, Stephen H. Johnson, Toktam Mahmoodi:
Multipath Encrypted Traffic Classification at the Transport Layer for Dynamic Reliability. WCNC 2024: 1-6 - 2023
- [c3]Omar Nassef, Federico Chiariotti, Stephen H. Johnson, Toktam Mahmoodi:
Dynamic Reliability: Reliably Sending Unreliable Data. ICC Workshops 2023: 1712-1717 - [i2]Omar Nassef, Federico Chiariotti, Stephen H. Johnson, Toktam Mahmoodi:
Dynamic Reliability: Reliably Sending Unreliable Data. CoRR abs/2303.12596 (2023) - 2022
- [j3]Omar Nassef, Wenting Sun, Hakimeh Purmehdi, Mallik Tatipamula, Toktam Mahmoodi:
A survey: Distributed Machine Learning for 5G and beyond. Comput. Networks 207: 108820 (2022) - [c2]Chia-Cheng Yen, Wenting Sun, Hakimeh Purmehdi, Won Park, Kunal Rajan Deshmukh, Nishank Thakrar, Omar Nassef, Adam Jacobs:
Graph Neural Network based Root Cause Analysis Using Multivariate Time-series KPIs for Wireless Networks. NOMS 2022: 1-7 - 2021
- [j2]Omar Nassef, Luis Sequeira, Elias Salam, Toktam Mahmoodi:
Building a Lane Merge Coordination for Connected Vehicles Using Deep Reinforcement Learning. IEEE Internet Things J. 8(4): 2540-2557 (2021) - [j1]Omar Nassef, Toktam Mahmoodi, Foivos Michelinakis, Kashif Mahmood, Ahmed Elmokashfi:
Optimising Performance for NB-IoT UE Devices through Data Driven Models. J. Sens. Actuator Networks 10(1): 21 (2021) - 2020
- [c1]Omar Nassef, Luis Sequeira, Elias Salam, Toktam Mahmoodi:
Deep Reinforcement Learning in Lane Merge Coordination for Connected Vehicles. PIMRC 2020: 1-7 - [i1]Omar Nassef, Luis Sequeira, Elias Salam, Toktam Mahmoodi:
Deep Reinforcement Learning in Lane Merge Coordination for Connected Vehicles. CoRR abs/2010.10567 (2020)
Coauthor Index
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