Digital transformation in Ukraine during wartime: Challenges and prospects

M Nehrey, I Kostenko, Y Kravchenko - The International Symposium on …, 2022 - Springer
Digital transformation has become one of the main trends of the modern world, supporting
changes in all spheres of life. Digitalization allows easier access to data, simplifies reporting …

Application possibilities of data science tools in agriculture: A review

M Nehrey, T Koval, N Rogoza, L Galaieva - International Conference of …, 2022 - Springer
Digitization of agricultural production processes is a prerequisite for a successful strategy for
the development of the agricultural sector. The process of implementing Data Science …

RBF-based input doubling method for small medical data processing

I Izonin, R Tkachenko, S Fedushko, D Koziy… - Advances in Artificial …, 2021 - Springer
Many studies in the medical area require large training datasets for intellectual analysis. The
process of collecting such information is time consuming or costly, but in some situations it is …

Creditworthiness of Individual Borrowers Forecasting with Machine Learning Methods

L Zomchak, V Melnychuk - International Conference of Artificial Intelligence …, 2022 - Springer
Providing loans to individuals without a proper analysis of their creditworthiness is one of the
reasons that can lead to risky activities of the lender and, consequently, to the weakness of …

Combining OCR methods to improve handwritten text recognition with low system technical requirements

V Semkovych, V Shymanskyi - The International Symposium on Computer …, 2022 - Springer
Using a combination of CRNN (Convolutional Recurrent Neural Network), LSTM (long short-
term memory) and CTC (Connectionist temporal classification) in order to build an ensemble …

[PDF][PDF] Neural Network Method for Parametric Adaptation Helicopters Turboshaft Engines On-Board Automatic Control System Parameters.

S Vladov, Y Shmelov, R Yakovliev, M Petchenko - COLINS (3), 2023 - ceur-ws.org
The work is devoted to the improvement of helicopters turboshaft engines closed onboard
neural network automatic control system by introducing a program module for parametric …

The Impact of Environmental Social Responsibility Concept on Sustainable Development in the Context of Big Data

V Ohorodnyk, O Nimko, M Nehrey - The International Symposium on …, 2022 - Springer
The influence of social responsibility on environmental indicators is investigated in the
context of big data, and the comparison of these data of Ukraine with previous years is …

Neural Network Model for Laboratory Stand Control System Controller with Parallel Mechanisms

P Kravets, A Novatskyi, V Shymkovych… - … on Computer Science …, 2023 - Springer
The paper considers a frame installation with mechanisms of parallel structure. In it the
movement of the tool is carried out in the vertical plane. The movement of the working body …

Clustering Stocks by ESG Score Values, Risks and Returns: Case of Expanded German Index DAX

A Kaminskyi, M Nehrey - International Conference of Artificial Intelligence …, 2022 - Springer
The paper is devoted to the application of the cluster approach to portfolio management,
based on the inclusion of sustainability component in the clustering. ESG-score provided by …

Prediction of Magnetic Remanence of Sm-Co Magnets Using Machine Learning Algorithms

A Trostianchyn, I Izonin, R Tkachenko… - … on Engineering and …, 2021 - Springer
Predicting the magnetic properties of permanent magnets based on alloys of rare earth
metals is an important task given their demand in high-tech industries and the need for …