Modified interactive genetic algorithm system for music gene-ration von Федорченко, Є. М., Олійник, А. О., Федорончак, Т. В., Степаненко, О. О., Чорнобук, М. О., Зайко, Т. А., Федорченко, Ю. В.

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Technology of improving the land use data accuracy for geospatial modeling tasks von Okhariev, Viacheslav, Pidsadnii, Serhii

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Yield prediction at field level von Kryvoshein, Oleksandr, Kryvobok, Oleksii, Zhylchenko, Dmytro

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Maximizing solar photovoltaic system efficiency by multivariate linear regression based maximum power point tracking using machine learning von Paquianadin, V., Navin Sam, K., Koperundevi, G.

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The technology of machine learning for a composite web service development von Grishanova, I.Yu., Rogushina, J.V.

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Development and research of a modified convolutional neural network for malaria cell pattern recognition von Федорченко, Є. М., Олійник, А. О., Степаненко, О.О., Федорончак, Т. В., Чорнобук, М. О.

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Use of ontological knowledge in machine learning methods for intelligent analysis of Big Data von Rogushina, J.V.

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COMPARATIVE ANALYSIS OF METHODS AND TOOLS FOR AMBIENT AIR QUALITY MONITORING von Kulykivskyi, Oleksandr, Ponomarenko, Oleksandr

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Practical content of the elements of petrophysical model of terrigenous sandstones — oil and gas reservoirs in neural networks, deep learning and regression methods von Vyzhva, Serhiy, Gozhyk, Andriy, Shabatura, Oleksandr, Onyshchuk, Viktor, Onyshchuk, Dmytro, Onyshchuk, Ivan

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Machine-learning methods for text named entity recognition von Marchenko, O.O.

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

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Technological solutions for intelligent analysis of Big Data. Programming languages von Grishanova, I.Y., Rogushina, J.V.

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Recurrent neural network model for music generation von Komarskiy, O.C., Doroshenko, А.Yu.

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Extracting structure from text documents based on machine learning von Kudim, K.A., Proskudina, G.Yu.

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

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

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

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

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

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Applying spectral decomposition to seismic facies clustering with unsupervised machine learning von Malikov, Ruslan, Babayev, Gulam

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