Machine learning methods analysis in the document classification problem by Zhyrkova, A.P., Ignatenko, O.P.

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Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm by Khodnevych, Yaroslav, Korbutiak, Vasyl

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Recurrent neural networks for the problem of improving numerical meteorological forecasts by Doroshenko, А.Yu., Kushnirenko, R.V.

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Flow constructing and optimizing method for composite web service based on Q-learning by Grishanova, I.Yu., Rogushina, J.V.

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Application of machine learning models to predict energy consumption in smart home systems by Haidukevych, V.O., Doroshenko, A.Yu.

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Predicting Filtered Image Quality Using Transfer Learning on Sentinel-1 Speckle Noise with DenseNet-121 by Al-Senaikh, Raed, Rubel, Oleksii

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Fractional-based iterative learning-optimal model predictive control of speed induction motor regulation for electric vehicles application by Nemouchi, B., Rezgui, S. E., Benalla, H., Nebti, K.

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Implementation of neural network based 2D seismic images super resolution approach by Noskov, Oleksii, Myrontsov, Mykyta

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Basics of programming in the context of software engineering by Sydorov, М.О.

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Software package for adaptive training of robot controllers based on neural networks by Vitiuk, A.Y., Doroshenko, A.Yu.

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Forecasting electrical energy consumption for 24 hours ahead at country scale by Doroshenko, A.Yu., Zhora, D.V., Haidukevych, V.O., Haidukevych, Y.O., Yatsenko, O.A.

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Digital twins in intrusion detection systems based on deep learning by Letychevskyi, O.O., Yevdokymov, S.O.

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Synergy of quantum computing and federated learning in information technology detection of hidden target groups by Fadeichev, Serhii, Trofymchuk, Oleksandr, Trysnyuk, Vasyl

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Визначення рівня пропаганди в оперних лібрето за допомогою засобів data mining та machine learning by Dats, Iryna, Gavrilenko, Olena, Feshchenko, Kyrylo

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Deeplearning-based approach to improving numerical weather forecasts by Doroshenko, А.Yu., Shpyg, V.M., Kushnirenko, R.V.

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Automatic development of deep neural networks for improving numerical meteorological forecast by Doroshenko, А.Yu., Kushnirenko, R.V.

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Method of managing the execution of tasks of a multithreaded program according to a given dependency graph by Terentiev, R.V., Ivanenko, P.А.

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Neurosymbolic models for ensuring cybersecurity in critical cyberphysical systems by Yevdokymov, S.O.

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DIGITAL TWINS IN BUILDING ENERGY MANAGEMENT FOR ELECTRICITY CONSUMPTION FORECASTING AND ENERGY EFFICIENCY IMPROVEMENT by Shpak, Denys

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Application of machine learning methods to study the relationships between seismicity and geodynamic features of the Dnister Hydropower Complex by Brusak, Ivan, Haidus, Oleg, Kuplovskyi, Bohdan

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