The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data von Krysenko, Pavlo

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Application of deep learning and computer vision frameworks for solving video context prediction problem von Voloshyn, D.

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

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

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

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

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Application of deep learning technology for creating intellectual autonomous machines von Bilokon, O.S.

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Multimodal RAG using text and visual data von Shevchenko, M.H., Androshchuk, M.V.

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DESIGN OF A MATLAB GUI FOR SHORT-TERM SOLAR FORECASTING BASED ON DEEP LEARNING von Matushkin, D., Bosak, A.

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Enhancing ball detection in football videos using attention mechanisms in FPN-based CNNS von Ivasenko, I.B., Bishyr, S.S.

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Human face recognition system in video stream von Popereshnyak, S.V., Skoryk, R.O., Kuptsov, D.V., Kravchenko, R.V.

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Geographic information intelligent systems based on modern information technologies for digital terrain modelling von Vdovychenko, V.V., Pleskach, V.L.

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Machine vision systems for detection of fast-moving objects in low visibility conditions von Tovstenko, L.M., Kosovets, М.A., Tovstenko, O.A.

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The practical aspect of using the artificial intellectual technology for building a multidimentional function CFAR for smart-handled LPI radar von Kosovets, M.A., Tovstenko, L.M.

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Graphical data aggregation and analysis in dedicated mobile device networks. von Pogorilyy, S. D., Chechula, M. V.

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