2023 19th International Conference on Network and Service Management (CNSM)

IEEE , [szerk.]

Angol nyelvű Konferenciakötet (Könyv) Tudományos

Megjelent: Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), Amerikai Egyesült Államok 2023

Konferencia: 19th International Conference on Network and Service Management, CNSM 2023 2023-10-30 [Niagara Falls, Kanada]

Azonosítók

MTMT: 34425393
ISBN: 9783903176591
ISBN: 9798350381085

Fejezetek

Ficzere D. et al. AI Toolbox Concept for the Arrowhead Framework. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM)
Frankó Attila et al. Settling Issues in IEEE 802.1AS Networks in PI Based Clock Servos. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM)
Golchin P. et al. CML-IDS: Enhancing Intrusion Detection in SDN Through Collaborative Machine Learning. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM)
Hegedus C. et al. Tailoring MLOps Techniques for Industry 5.0 Needs. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM)
Helm Max et al. Synthesizing and Scaling WAN Topologies using Permutation-invariant Graph Generative Models. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM)
Tothfalusi T. et al. ML-Based Translation Methods for Protocols and Data Formats. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM)
Geier Timo et al. Low Impact Tenant Code Updates on Multi-Tenant Programmable Switches. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM) pp. 1-5
Habibi Pooyan et al. Data Fabrics for Multi-Domain Information Systems. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM) p. 1
Jiang N. et al. TinyG: Accurate IP Geolocation Using a Tiny Number of Probers. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM) pp. 1-9
Schmidt S. et al. AdFAT: Adversarial Flow Arrival Time Generation for Demand-Oblivious Data Center Networks. (2023) Megjelent: 2023 19th International Conference on Network and Service Management (CNSM) pp. 1-5

Hivatkozás stílusok: IEEE ACM APA Chicago Harvard CSLMásolásNyomtatás

2023 19th International Conference on Network and Service Management (CNSM)

IEEE , [szerk.]

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