| Vol-3465 urn:nbn:de:0074-3465-7 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# M3E2-MLPEED 2022
Machine Learning for Prediction of Emergent Economy Dynamics 2022

### Proceedings of the Selected and Revised Papers of 10th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2-MLPEED 2022)

### Virtual Event, Kryvyi Rih, Ukraine, November 17-18, 2022.

Edited by

### Hanna B. Danylchuk *
Serhiy O. Semerikov **

* The Bohdan Khmelnytsky National University of Cherkasy, 81 Shevchenko Blvd., Cherkasy, 18031, Ukraine
** Kryvyi Rih State Pedagogical University, 54 Gagarin Ave., Kryvyi Rih, 50086, Ukraine

## Table of Contents

- Advances in machine learning for the innovation economy: in the shadow of war 1-25
  Hanna B. Danylchuk, Serhiy O. Semerikov
  Summary: There were 23 papers submitted for peer-review to this workshop. Out of these, 13 papers were accepted for this volume, 13 as regular papers.
- Assessing the educational dimension of national economy innovative development 26-46
  Olha Ilyash, Larysa Taranenko, Olena Trofymenko, Nataliia Koba, Marzena Sobczak-Michalowska
- Fuzzy expert decision support system for foreign direct investment: a swarm metaheuristic approach 47-60
  Eugene E. Fedorov, Liubov O. Kibalnyk, Lesya O. Petkova, Maryna M. Leshchenko, Vladyslav M. Pasenko
- The impact of intangible assets on the financial performance of Slovak ICT companies: a panel data regression analysis 61-81
  Serhii F. Lehenchuk, Tetiana A. Vakaliuk, Tetiana P. Nazarenko, Zuzana Kubaščíková, Zuzana Juhászová
- Maximizing customer satisfaction and business profits through Big Data technology in Society 5.0: a crisis-responsive approach for emerging markets 82-94
  Piotr Kulyk, Viktoriia Hurochkina, Bohdan Patsai, Olena Voronkova, Oksana Hordei
- A flexible machine learning model for optimizing organizational capital development strategies and resource allocation 95-109
  Vasyl Porokhnya, Vladyslav Penev, Roman Ivanov, Volodymyr Kravchenko
- Recurrence quantification analysis of energy market crises: a nonlinear approach to risk management 110-131
  Andrii O. Bielinskyi, Vladimir N. Soloviev, Viktoria V. Solovieva, Serhiy O. Semerikov, Michael A. Radin
- High-order network analysis for financial crash identification 132-149
  Andrii O. Bielinskyi, Vladimir N. Soloviev, Serhii V. Hushko, Arnold E. Kiv, Andriy V. Matviychuk
- Multidimensional statistical analysis of investment attractiveness and regional changes in the COVID-19 pandemic 150-167
  Pavlo M. Hryhoruk, Nila A. Khrushch, Svitlana S. Grygoruk, Olena R. Ovchynnikova
- A comparative study of deep learning models for sentiment analysis of social media texts 168-188
  Vasily D. Derbentsev, Vitalii S. Bezkorovainyi, Andriy V. Matviychuk, Oksana M. Pomazun, Andrii V. Hrabariev, Alexey M. Hostryk
- The impact of the war in Ukraine on globalization processes and world financial markets: a wavelet entropy analysis 189-205
  Hanna B. Danylchuk, Liubov O. Kibalnyk, Oksana A. Kovtun, Oleg I. Pursky, Yevhenii M. Kyryliuk, Olena O. Kravchenko
- Nonlinear dynamics of electric vehicle sales in China: a fractal analysis 206-221
  Serhii Kurkula, Nataliia Maksyshko, Dmytro Ocheretin, Serhii Cheverda
- A cognitive approach to modeling sustainable development of complex technogenic systems in the innovation economy 222-235
  Sultan K. Ramazanov, Bohdan O. Tishkov, Oleksandr H. Honcharenko, Alexey M. Hostryk
- University competitiveness in the knowledge economy: a Kohonen map approach 236-250
  Dmytro H. Lukianenko, Andriy V. Matviychuk, Liubov I. Lukianenko, Iryna V. Dvornyk

2023-08-19: submitted by Serhiy O. Semerikov, metadata incl. bibliographic data published under Creative Commons CC0
2023-08-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|