Analytical review of European projects LUCAS and CORINE for monitoring and validation of land cover and landuse on the basis of satellite and ground observations and experience of... by Zielyk, Yarema, Kussul, Nataliia, Shelestov, Andrii, Yailymov, Bogdan

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Overview and comparison of neural network models for diagnostics and quality control in the production of printed circuit boards by Верлань , А.А., Фастовець , Є.Р.

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Comparative analysis of the effectiveness of correlation-extreme systems and systems based on artificial intelligence for aircraft guidance by Мезенцев , О. В.

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Data arrangements to train an artificial neural network within solving the tasks for calculating the Chézy roughness coefficient under uncertainty of parameters determining the hyd... by Khodnevych, Yaroslav V., Stefanyshyn, Dmytro V.

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Use of neural networks for studying nontraditional hydrocarbon reservoirs (an example of Visean black shales of the Dnipro-Donets Basin) by Kurtyi, V.O., Verpakhovska, O.O.

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A Convolutional Neural Network Model and Software Tool for Classifying the Presence of a Medical Mask on a Human Face by Hryhorenko, Y.S., Shymkovysh, V.M., Kravets, P.I., Novatskyi, A.O., Shymkovysh, L.L., Doroshenko, A.Yu.

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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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Improving the accuracy of modeling the trend and seasonal components in the medium-term forecasting of the consumed electric power from the integrated power system by Martyniuk A., Chernenko P.

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Power transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the... by Bouchaoui, L., Hemsas, K. E., Mellah, H., Benlahneche, S.

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Do we need a more sophisticated multilayer artificial neural network to compute roughness coefficient? by Khodnevych, Yaroslav V., Stefanyshyn, Dmytro V.

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Developing a semantic image model using machine learning based on convolutional neural networks by Andon, P.I., Glybovets, A.M., Kuryliak, V.V.

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Application of neuro evolution tools in automation of technical control systems by Doroshenko, А.Yu., Achour, I.Z.

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Neuro-symbolic approach for the biological systems and processes research by Letychevskyi, O.O., Tarasich, Yu.H.

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

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Neural network application to pseudorandom sequence generation simulation by Lesyk, V.O., Doroshenko, A.Yu.

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

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Mathematical model of the distribution of radio monitoring resources for observation of satellite communication channels using neural networks by Trysnyuk, Vasyl, Ehorov, Volodymyr

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Neural network modeling in the problem of localization earthquake of Ukraine by Gerasymenko, O.O., Shumlyanska, L.O., Nadezhka, L.I., Pivovarov, S.P., Ganiev, O.Z., Ostapchuk, N.M., Shipko, N.L.

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Application of machine learning in software engineering: an overview by Moroz, O.H., Moroz, H.B.

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Neural networks’ learning process acceleration by Katerynych, L., Veres, M.M., Safarov, E.

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