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Semi-Supervised Learning Approach for Efficient Resource Allocation with Network Slicing in O-RAN
We also evaluate the proposed model's performance in different scenarios among the service types.
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data through deep generative modeling.
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic
In this paper, we introduce a novel end-to-end traffic classification method to distinguish between traffic classes including VPN traffic in three layers of the Open Systems Interconnection (OSI) model.
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