Search Results - "Machine Learning" :: Harvester open publications of NAS Ukraine

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machine learning 35
машинне навчання 34
машинное обучение 12
прогнозування 6
forecasting 5
УДК 681.3 4
нейронні мережі 4
004.421 3
004.89 3
UDC 004.94 3
UDC 658.26 3
UDC 681.3 3
neural network 3
neural networks 3
web service 3
УДК 004.4'24 3
УДК 004.94 3
УДК 658.26 3
штучний інтелект 3
004.55 2
Big Data 2
Hadoop 2
UDC 004,853 2
UDC 004.4'24 2
UDC 004.85 2
UDC 004.855 2
algorithm 2
artificial intelligence 2
composition of services 2
convolutional neural networks 2

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Neurosymbolic models for ensuring cybersecurity in critical cyberphysical systems by Yevdokymov, S.O.

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

Search Results - "Machine Learning"

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Neurosymbolic models for ensuring cybersecurity in critical cyberphysical systems by Yevdokymov, S.O.

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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