Publications
Dataset · Zenodo · August 3, 2026
Machine Learning-Based Early Warning System for Transport-Layer Bottlenecks in Open-Source 5G Testbeds
Yedil S. Nurakhov, Aksultan Mukhanbet, Duman Marlambekov, Timur Imankulov, Ibraheem Abdullah Mohammed Shayea, Laurence Anthony
Software-Defined Networks and 5GNetwork Traffic and Congestion ControlSoftware System Performance and Reliabilityearly warning systems5G testbedopen-source testbed
More by Duman Marlambekov
- BENCHMARKING DEEP LEARNING MODELS FOR FEW-SHOT CLASSIFICATION OF KAZAKH NEWS TEXTS UNDER LIMITED ANNOTATIONHerald of Kazakh-British technical university · 2026
- Machine Learning-Based Early Warning System for Transport-Layer Bottlenecks in Open-Source 5G TestbedsAlgorithms · 2026
- Bridging the Semantic Gap in 5G: A Hybrid RAG Framework for Dual-Domain Understanding of O-RAN Standards and srsRAN ImplementationApplied Sciences · 2026 · Citations: 1
- A Cost-Efficient CWE-Grounded Multi-Agent LLM Pipeline for Web and API Vulnerability Analysis: Design, Statistical Evaluation, and Implications for 5G/6G Edge DeploymentIEEE Open Journal of the Communications Society · 2026
