PubMed
open access
A survey of the integration between machine learning and artificial intelligence techniques in software-defined networking.
Recently, Software-Defined Networking has become one of the key technologies in modern telecommunication networks. Its programmable and flexible architecture enables centralized control of network resources, automation of management processes, and integration with other technologies such as Network
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence#478148
- Making Logic a First-Class Citizen in Generative ML for Networking#183271
- Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality.#161877
- PolicyCache-SDN: Hierarchical Intra-Path Learning for Adaptive SDN Traffic Control#175173
- Quick-Start for the Datagram Congestion Control Protocol (DCCP)#220692
Record · ID 1054781
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive