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T. Imankulov

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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. · 0 citations
Open access Sep 2026

Physics-Informed Neural Networks for Coupled Non-Isothermal Two-Phase Flow in Porous Media: Training Pathologies, Remedies, and the Role of Gradient Conflict

Physics-informed neural networks (PINNs) are difficult to train on strongly coupled, multi-objective systems: with fixed loss weights an otherwise identical run succeeds or diverges with the random seed, and a leading explanation attributes the failures to conflict between the loss-term gradients. We test that explanat...

Y. Kenzhebek, T. Imankulov, S. D. Bekele et al. · 0 citations

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