Application of Deep Learning Neural Network for Classification of Big Data of Astronomic Observations von A. A. Gorbunov, E. A. Isaev, V. A. Samodurov

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APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS von Gorbunov, A. A., Isaev, E. A., Samodurov, V. A.

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

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What can we learn about ferroelectrics using methods of nonlinear dynamics? von Diestelhorst, M.

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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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Malware dynamic analyses system based on virtual mashine introspection and mashine learning methods von Nafiev, A.E., Rodionov, A.M.

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Comparative Evaluation of Convergence's Speed of Learning Algorithms for Linear Classifiers by Statistical Experiments Method von Fainzilberg, L.S., Matushevych, N.A.

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

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

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

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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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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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Low frequency signal classification using clustering methods von Rahozin, D.V., Doroshenko, A.Yu.

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

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Применение глубоких нейронных сетей для классификации больших объемов астрономических данных von Горбунов, А.А., Исаев, Е.А., Самодуров, В.А.

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Research and development workstation environment: the new class of Current Research Information Systems von Palagin, O.V., Velychko, V.Yu., Malakhov, K.S., Shchurov, O.S.

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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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Моніторинг пацієнтів з використанням методів нечіткої логіки і машинного навчання von Хорозов, О.А.

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КЕРУВАННЯ РОЗГОРТАННЯМ СТРИЖНЕВИХ КОНСТРУКЦІЙ, ЩО ТРАНСФОРМУЮТЬСЯ, З ВИКОРИСТАННЯМ НАВЧАННЯ З ПІДКРІПЛЕННЯМ... von KHOROSHYLOV, S. V., SHAMAKHANOV, V. K.

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Adaptive ensemble decision integration for indicator of resource security: methodology and statistical validation of stability von Ilyina, O.P., Skybyk, S.Ya.

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