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| Issue |
Title |
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| No 2 (2026) |
Formation of recommendations for critical infrastructure objects based on streaming data, machine learning and artificial intelligence approaches |
Abstract
PDF (Українська)
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V.G. Huskova, V.I. Shkolnikov, B.S. Lysov, A.A. Khalygov |
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| No 4 (2025) |
Methods for implementing quadrotors autonomy based on hybrid learning methods |
Abstract
PDF (Українська)
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I.P. Ramyk, Ya.M. Linder |
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| No 4 (2019) |
Application of machine learning in software engineering: an overview |
Abstract
PDF (Русский)
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O.H. Moroz, H.B. Moroz |
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| No 2 (2023) |
Artificial intelligence in cloud-based mobile radar computing |
Abstract
PDF
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M. Коsovets, L. Tovstenko |
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| No 2 (2019) |
Horizontal and Vertical Scalability of Machine Learning Methods |
Abstract
PDF (Українська)
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B.O. Biletskyy |
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| No 3-4 (2022) |
Extracting structure from text documents based on machine learning |
Abstract
PDF
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K.A. Kudim, G.Yu. Proskudina |
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| No 4 (2018) |
Use of ontological knowledge in machine learning methods for intelligent analysis of Big Data |
Abstract
PDF (Українська)
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J.V. Rogushina |
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| No 1 (2025) |
Flow constructing and optimizing method for composite web service based on Q-learning |
Abstract
PDF (Українська)
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I.Yu. Grishanova, J.V. Rogushina |
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| No 3-4 (2022) |
Some aspects of software engineering for AI-based systems |
Abstract
PDF (Українська)
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V.V. Liubchenko |
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| No 4 (2018) |
Technological solutions for intelligent analysis of Big Data. Programming languages |
Abstract
PDF (Українська)
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I.Y. Grishanova, J.V. Rogushina |
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| No 1 (2025) |
Neurosymbolic models for ensuring cybersecurity in critical cyberphysical systems |
Abstract
PDF (Українська)
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S.O. Yevdokymov |
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| No 1 (2022) |
Recurrent neural network model for music generation |
Abstract
PDF (Українська)
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O.C. Komarskiy, А.Yu. Doroshenko |
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| No 2-3 (2018) |
Parallel software auto-tuning using statistical modeling and machine learning |
Abstract
PDF (Українська)
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А.Yu. Doroshenko, P.A. Ivanenko, O.S. Novak, O.A. Yatsenko |
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| No 4 (2024) |
User-centric technology stack for weather and air pollution forecasting |
Abstract
PDF (Українська)
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A.Yu. Doroshenko, Y.O. Haidukevych, V.O. Haidukevych, O.S. Zhyrenkov |
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| No 1 (2026) |
Analyses of automated machine learning tools for application in marketing |
Abstract
PDF (Українська)
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O.V. Nikonov |
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| No 2-3 (2016) |
Machine-learning methods for text named entity recognition |
Abstract
PDF (Українська)
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O.O. Marchenko |
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| No 4 (2024) |
The technology of machine learning for a composite web service development |
Abstract
PDF (Українська)
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I.Yu. Grishanova, J.V. Rogushina |
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| No 4 (2020) |
Machine learning methods analysis in the document classification problem |
Abstract
PDF (Українська)
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A.P. Zhyrkova, O.P. Ignatenko |
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| No 1 (2026) |
Using machine learning methods to improve the efficiency of the cosmetological services administration process |
Abstract
PDF (Українська)
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O.V. Zakharova, L.O. Spektorovska |
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| No 2-3 (2024) |
Application of neural networks in OLAP-systems |
Abstract
PDF
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G.Ch. Nabibayeva |
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| No 4 (2020) |
Main Aspects of Big Data Semantic Annotation |
Abstract
PDF (Українська)
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O.V. Zakharova |
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| No 1 (2026) |
Architecture of a software system for multi-model ecological risk forecasting for digital management of municipal organic waste |
Abstract
PDF (Українська)
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A.M. Tryhuba, N.Ya. Koval, I.L. Tryhuba, I.R. Firman, V.Yu. Famuliak |
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| No 2-3 (2024) |
Neurosymbolic approach for attack detection in satellite communication systems |
Abstract
PDF (Українська)
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O.S. Mostovyi |
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| No 2-3 (2020) |
Developing a semantic image model using machine learning based on convolutional neural networks |
Abstract
PDF (Українська)
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P.I. Andon, A.M. Glybovets, V.V. Kuryliak |
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| No 2-3 (2024) |
Forecasting electrical energy consumption for 24 hours ahead at country scale |
Abstract
PDF (Українська)
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A.Yu. Doroshenko, D.V. Zhora, V.O. Haidukevych, Y.O. Haidukevych, O.A. Yatsenko |
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