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

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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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Enhancing power system security using soft computing and machine learning von Venkatesh, P., Visali, N.

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Mathematical model for aerial image decoding and automated analysis of urban infrastructure von Marushchak, Vasyl

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An automated scenario generation system for analytical activities. von Dodonov, O. G., Koval, O. V., Senchenko, V. R., Shpurik, V. V.

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IMPLEMENTING OF MICROSOFT AZURE MACHINE LEARNING TECHNOLOGY FOR ELECTRIC MACHINES OPTIMIZATION von Pliugin, V. E., Sukhonos, M., Pan, M., Petrenko, A. N., Petrenko, N. Ya.

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BEHIND THE ZONE OF AVOIDANCE OF THE MILKY WAY: WHAT CAN WE RESTORE BY DIRECT AND INDIRECT METHODS? von Vavilova, I. B., Elyiv, A. A., Vasylenko, M. Yu.

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