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NOMS 2025-2025 IEEE Network Operations and Management Symposium
IEEE [szerk.]
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: IEEE, Piscataway (NJ), Amerikai Egyesült Államok
2025
Konferencia:
NOMS 2025-2025 IEEE Network Operations and Management Symposium 2025-05-12 [Honolulu, Amerikai Egyesült Államok]
Sorozatok:
IEEE IFIP Network Operations and Management Symposium 1542-1201
Azonosítók
MTMT: 36252362
DOI:
10.1109/NOMS57970.2025
ISBN:
9798331531638
ISBN:
9798331531645
Fejezetek
Alves Vinicius Boff et al. Towards Programmable Low-End Networking: Research Challenges and Lessons Learned. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Ficzere Dániel et al. AI-Driven Network Configuration and Operation. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Ficzere Dániel et al. Beyond Intent Translation: Research Gaps in the Application of Generative AI for Intent-Based Networking. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Fodor Balázs et al. Adaptive Monitoring for Cloud-Native Microservices. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Fodor Balazs et al. Improved Performance Control of Cloud-Native Microservices in the Edge with Proactive Autoscaling. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Hegedűs Csaba et al. Multi-Agentic Plan-and-Solve Engine for Managing System of Systems via Natural Language. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Hollósi Gergely et al. Time Synchronization in Packet Switching Networks. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Kővári Ádám et al. Let's Have a Chat with the EU AI Act. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Majdán András et al. IoT connectivity management by hyperbolic trees. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Ónozó Lívia R. et al. Advancing Deep-Learning in NLP: From Network Logs to Text Classification. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Parizotto Ricardo et al. Composing Fault Tolerant In-Network Computing Systems via High-Level Intents. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Pekar Adrian. AutoFlow: An Autoencoder-Based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Tóthfalusi Tamás et al. TACO - A Generative AI Copilot for Intent-Based Telecommunication Core Network Analysis. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Varjú Ákos et al. Multi-Agent LLM System for Automatic Meeting Information Processing. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium
Dardour Mayssa et al. A Three-Layer LSTM Approach for Proactive Train Schedule Variability Alerts for Individuals with Reduced Mobility. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium pp. 1-10
Lin Jinlei et al. LMGeo6: A Comprehensive IPv6 Landmark Mining Methodology to Facilitate IPv6 Geolocation. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium pp. 1-7
Pennekamp Jan et al. ConfMod: A Simple Modeling of Confidentiality Requirements for Inter-Organizational Data Sharing. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium pp. 1-6
Yao Zili et al. Computational Task Scheduling Method Based on Energy Prediction. (2025) Megjelent: NOMS 2025-2025 IEEE Network Operations and Management Symposium pp. 1-9
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2026-01-14 17:26
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