Author

D. Marlambekov

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Open access Sep 2026

BENCHMARKING DEEP LEARNING MODELS FOR FEW-SHOT CLASSIFICATION OF KAZAKH NEWS TEXTS UNDER LIMITED ANNOTATION

Deep learning methods and transformer architectures have fundamentally reshaped the field of natural language processing; however, these advancements remain unevenly distributed. While high-resource languages like English benefit from large-scale benchmarks, robust text classification for low-resource languages, such a...

D. Marlambekov, Асель Сейтказиевна Ахметова, S. Torekul et al. · Herald of Kazakh-British tec... · 0 citations

Open access Aug 2026

Machine Learning-Based Early Warning System for Transport-Layer Bottlenecks in Open-Source 5G Testbeds

The transition toward disaggregated, software-defined 5G Standalone (SA) infrastructures has shifted much of the end-to-end latency budget from the radio interface into the transport and computational layers, where bufferbloat and congestion-window collapse degrade Quality of Service before any packet is lost. Contempo...

Y. Nurakhov, A. Mukhanbet, Duman Marlambekov et al. · Algorithms · 0 citations