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Baran Can Gül
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2020 – today
- 2024
- [j2]Erol Gelenbe
, Baran Can Gül, Mert Nakip
DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with online learning for health Internet of Things and Internet of Vehicles. Internet Things 28: 101340 (2024) - [c5]Baran Can Gül, Daniel Dittler, Nasser Jazdi, Michael Weyrich:
Federated Learning for Comfort Features in Vehicles with Collaborative Sensing: A Review. ETFA 2024: 1-7 - [c4]Baran Can Gül, Neeharika Devarakonda, Nasser Jazdi, Michael Weyrich:
Personalized Comfort Features in Software-defined Vehicles Using Federated Learning. ETFA 2024: 1-7 - 2023
- [c3]Mert Nakip, Baran Can Gül, Erol Gelenbe:
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection. MASCOTS 2023: 1-8 - [i1]Mert Nakip, Baran Can Gül, Erol Gelenbe:
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection. CoRR abs/2306.13029 (2023) - 2022
- [j1]Mert Nakip
Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds. IEEE Access 10: 55602-55615 (2022) - [c2]Baran Can Gül, Nasser Jazdi, Manuel Müller:
Use of the Intelligent Digital Twin for Dynamic Calculation of the Reliability of Industrial Automation Systems. AQTR 2022: 1-7
2010 – 2019
- 2019
- [c1]Mert Nakip
Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication. CCIOT 2019: 102-109
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last updated on 2024-10-31 21:09 CET by the dblp team
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