The growing volume of unstructured clinical and genetic text calls for automated processing methods that can meaningfully support clinical decision-making. Most existing work, however, treats the analysis of patient clinical descriptions and the interpretation of genetic reports as unrelated tasks, disregarding the seq...
A. Shayakhmetova, M. Sambetbayeva, V. Barakhnin et al.· Information· 0 citations
Renewable-generation forecasting is a probabilistic time-series problem in which point accuracy alone is insufficient for operational decision-making. This study proposes a physics-informed Bayesian framework for multi-horizon forecasting of solar, wind, and total renewable generation. The task is formulated as a 15-di...
Assem Shayakhmetova, N. Tasbolatuly, Guldana Taganova et al.· Mathematics· 0 citations
Modern power transmission grids are increasingly operated under volatile load, variable generation, and near-limit line-flow conditions. In such environments, deterministic line-flow forecasting is insufficient for operational decision support because operators require calibrated risk probabilities, uncertainty interva...
Assem Shayakhmetova, N. Tasbolatuly, Guldana Taganova et al.· Algorithms· 0 citations
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