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• AutoMLPoweredNetworks: Automated Machine Learning Service Provisioning for Next Generation Networks

  Given the presence of diverse services and devices generating heterogeneous traffic patterns, the careful selection of appropriate ML models and optimal allocation of ML resources based on the current network’s ML resource usage is crucial [2].

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• Leveraging O-RAN SC AI/ML Framework & Non-RT RIC for AI-Driven Network Slice QoS Optimization

  AuthorAshish Jain, Sukhdeep Singh, Moonki Hong

  PublishedIEEE Globecom Workshop

  Date2025-08-12

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