Artificial intelligence. 2022 (2) АРХІВ (Всі випуски) 
 | Artificial intelligence
2022. Вип. 2 |
- Title.
- Content.
- Ramazanov S. Artificial intelligence systems and technologies - main drivers and catalysts of sustainable development in the conditions of industry 4.0. - C. 8-14.
- Yashchenko V. Neuron. Molecular supercomputer. - C. 15-20.
- Gorgo Yu., Razumovskiy A. Program determination of the low frequency geomagnetic field and their influence on biological objects. - C. 22-27.
- Chuhai A., Yaskova Y., Dubinskyi V. An intelligent decision support system for solving optimized geometric design problems. - C. 29-37.
- Yehoshyna H., Polikarovskykh O., Voronoy S. Improving service quality management based on call center monitoring solution. - C. 38-44.
- Sineglazov V., Lesohorskyi K. Methodology of semi-supervised algorithm selection for classification problems. - C. 46-50.
- Kunichik O., Tereshchenko V. Analysis of modern methods of search and classification of explosive objects. - C. 52-59.
- Tereshchenko A., Zadiraka V. Avoiding the bit-reversed ordering in parallel multi-digit multiplication based on FFT. - C. 61-70.
- Rozlomii I., Yarmilko A., Naumenko S. The Methods And Means To Improve The Intelligent Systems Communication Component's Efficiency. - C. 71-76.
- Gorgulenko V. Data mining as a means of automation of the decision-making support in automated troops management systems. - C. 78-83.
- Hrabina K., Shendryk V. Imodel of choosing the optimal risk events management strategy: threats and opportunities. - C. 84-90.
- Ermolieva T., Ermoliev Y., Zagorodniy A., Bogdanov V., Borodina O., Havlik P., Komendantova N., Knopov P., Gorbachuk V., Zaslavskyi V. Artificial Intelligence, Machine Learning, and Intelligent Decision Support Systems: Iterative "Learning" SQG-based procedures for Distributed Models’ Linkage. - C. 92-97.
- Senatorov V., Melnyk B., Kuchinskiy A. Probability increase of target recognition by unmanned complex artificial intelligence. - C. 98-102.
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