Результати пошуку - "learning" :: Harvester open publications of NAS Ukraine

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machine learning 38
машинне навчання 37
deep learning 12
машинное обучение 12
глибоке навчання 10
прогнозування 8
neural network 6
навчання з підкріпленням 6
cloud computing 5
forecasting 5
УДК 004.94 5
УДК 681.3 5
нейронна мережа 5
нейронні мережі 5
UDC 004.94 4
UDC 681.3 4
neural networks 4
ontology 4
reinforcement learning 4
штучний інтелект 4
004.421 3
004.89 3
NEAT 3
UDC 004.89 3
UDC 517.9:621.325.5:621.382.049.77 3
UDC 51:681.3.06 3
UDC 658.26 3
artificial intelligence 3
artificial neural networks 3
computer vision 3

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

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

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

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

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

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

Recurrent neural networks for the problem of improving numerical meteorological forecasts за авторством Doroshenko, А.Yu., Kushnirenko, R.V.

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

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

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

Fractional-based iterative learning-optimal model predictive control of speed induction motor regulation for electric vehicles application за авторством Nemouchi, B., Rezgui, S. E., Benalla, H., Nebti, K.

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

Basics of programming in the context of software engineering за авторством Sydorov, М.О.

Software package for adaptive training of robot controllers based on neural networks за авторством Vitiuk, A.Y., Doroshenko, A.Yu.

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

Digital twins in intrusion detection systems based on deep learning за авторством Letychevskyi, O.O., Yevdokymov, S.O.

Synergy of quantum computing and federated learning in information technology detection of hidden target groups за авторством Fadeichev, Serhii, Trofymchuk, Oleksandr, Trysnyuk, Vasyl

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

Deeplearning-based approach to improving numerical weather forecasts за авторством Doroshenko, А.Yu., Shpyg, V.M., Kushnirenko, R.V.

Automatic development of deep neural networks for improving numerical meteorological forecast за авторством Doroshenko, А.Yu., Kushnirenko, R.V.

Результати пошуку - "learning"

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

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

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

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

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

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

Recurrent neural networks for the problem of improving numerical meteorological forecasts за авторством Doroshenko, А.Yu., Kushnirenko, R.V.

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

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

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

Fractional-based iterative learning-optimal model predictive control of speed induction motor regulation for electric vehicles application за авторством Nemouchi, B., Rezgui, S. E., Benalla, H., Nebti, K.

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

Basics of programming in the context of software engineering за авторством Sydorov, М.О.

Software package for adaptive training of robot controllers based on neural networks за авторством Vitiuk, A.Y., Doroshenko, A.Yu.

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

Digital twins in intrusion detection systems based on deep learning за авторством Letychevskyi, O.O., Yevdokymov, S.O.

Synergy of quantum computing and federated learning in information technology detection of hidden target groups за авторством Fadeichev, Serhii, Trofymchuk, Oleksandr, Trysnyuk, Vasyl

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

Deeplearning-based approach to improving numerical weather forecasts за авторством Doroshenko, А.Yu., Shpyg, V.M., Kushnirenko, R.V.

Automatic development of deep neural networks for improving numerical meteorological forecast за авторством Doroshenko, А.Yu., Kushnirenko, R.V.

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