Hybrid autotuning model with statistic modelling von Doroshenko, А.Yu., Ivanenko, P.A., Novak, O.S.

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Predicting the Probability of Exceeding Critical System Thresholds von Krammer, P., Kvassay, M., Hluchý, L.

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ANALYSIS OF METHODS AND ALGORITHMS FOR STUDYING THE REGIME RELIABILITY OF POWER SYSTEMS IN CONDITIONS OF CASCADE FAILURE PROGRESSION von Bardyk, Ye., Bondarenko, О., Zakliuka, I.

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Autotuning of parallel programs using the IBM Watsons Analytics data analysis system von Doroshenko, А.Yu., Novak, O.S., Ivanenko, P.A., Starushyk, A.M.

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Optimization of auto-tuning of programs using neural networks von Doroshenko, А.Yu., Ivanenko, P.A., Novak, O.S.

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A STATISTICAL MODEL OF MONITORING OF INSULATION BREAKDOWN VOLTAGE STABILITY IN THE PROCESS OF ENAMELED WIRES PRODUCTION von Gurin, A. G., Golik, O. V., Zolotaryov, V. V., Antonets, S. Yu., Shchebeniuk, L. A., Grechko, O. M.

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STATISTIC METHODS OF POLYIMIDE ENAMEL ISOLATION DEFECTIVE NON-DESTRUCTIVE CONTROL AT THE CONDITIONS OF PRODUCTION von Golik, O. V., Shchebeniuk, L. A.

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EFFICIENCY EVALUATION TECHNIQUE OF THE SEMICONDUCTOR DC-DC CONVERTER APPLICATION IN THE POWER-SUPPLY SYSTEM von Poliakov, M. A., Larionova, T. Y.

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Parallel software auto-tuning using statistical modeling and machine learning von Doroshenko, А.Yu., Ivanenko, P.A., Novak, O.S., Yatsenko, O.A.

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