| Vol-3312 urn:nbn:de:0074-3312-6 Copyright &copy; 2022 for the individual papers by the papers' authors. Copyright &copy; 2022 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).

# MoMLeT&DS 2022
Modern Machine Learning Technologies and Data Science Workshop

### Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022.

### Leiden, The Netherlands, November 25-26, 2022.

Edited by

### Michael Emmerich*
Victoria Vysotska**

* Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands
** Osnabrück University, Germany

## Table of Contents

- Cover and Preface
  Summary: There were 53 papers submitted for peer-review to MoMLeT&DS 2022. Out of these, 28 papers were accepted for this volume.
- Organization and Committees
- Organizers and Partners
- Simulation of the Effects of Targeted Immunization on the Peak Number of Infections in Complex Networks 1-13
  Michael Emmerich, Yulian Kuryliak, Dmytro Dosyn
- Domain Ontology Learning using Link Grammar Parser and WordNet 14-36
  Dmytro Dosyn, Yousef Ibrahim Daradkeh, Vira Kovalevych, Mykhailo Luchkevych, Yaroslav Kis
- VAD in Speech Coder Based on Wavelet Transform 37-46
  Oleksandr Tymchenko, Bohdana Havrysh, Orest Khamula, Bohdan Kovalskyi
- Creating Neural Network and Single Solution Human-Based Metaheuristic Methods of Solving the Traveling Salesman Problem 47-58
  Anait Karapetyan, Eugene Fedorov, Oleksii Smirnov
- Link Prediction Method in Graph Objects by Auto Encoding in Graph Neural Networks 59-75
  Vladyslav Shlianin, Yuri Gordienko, Sergii Stirenko
- Prototyping Methodology of End-to-End Speech Analytics Software 76-86
  Oleh Romanovskyi, Ievgen Iosifov, Olena Iosifova, Volodymyr Sokolov, Pavlo Skladannyi, Igor Sukaylo
- Advanced Method of Synthesis of Semantic Kernel of E-content 87-97
  Sergey Orekhov
- Optimizing the Process of Soybean Oil Epoxidation by the means of Artificial Intelligence 98-108
  Oleksandr Bauzha, Taras Chaikivskyi, Valentyna Maliarenko, Bohdan Sus, Sergiy Zagorodnyuk
- Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface 109-122
  Kostiantyn Kostiukevych, Yuri Gordienko, Nikita Gordienko, Oleksandr Rokovyi, Sergii Stirenko
- Simulation of Corrosion Fracture of Nano-Concrete at the Interface with Reinforcement Taking into Account Temperature Change 123-133
  Roman Dzhala, Volodymyr Yuzevych, Roman Mysiuk, Vasyl Brych, Ruslan Skrynkovskyy, Vitalii Lozovan, Yuriy Tyrkalo
- Nonparametric method for estimation of forecasting models using small samples 134-143
  Dmitriy Klyushin
- Compensatory Method for Measuring Phase Shift Using Signals Bisemiperiodic Conversion in Diagnostic Intelligence Systems 144-154
  Sergey Tyshko, Oleksandr Lavrut, Victoria Vysotska, Oksana Markiv, Oleh Zabula, Yurii Chernichenko, Tetiana Lavrut
- Deep Learning of Neural Networks Using Genetic Algorithms 155-164
  Serhii Lienkov, Sergey Shvorov, Oleksandr Sieliukov, Igor Tolok, Nataliia Lytvynenko, Taras Davydenko
- Segmentation of analogue meter readings using neural networks 165-175
  Vadym Slyusar, Ihor Sliusar, Nataliia Bihun, Volodymyr Piliuhin
- Model of Estimation of Distribution Density for Large Statistical Datasets 176-188
  Nataliya Boyko, Yaroslav Rohan, Svitlana Honchar
- On Applying the Structured Model “State-Probability of Action” to Multi-Criteria Decision Making and Contradictory Reasoning 189-199
  Oleksiy Oletsky, Ivan Peleshchak
- Towards Understandability Evaluation of Business Process Models using Activity Textual Analysis 200-211
  Andrii Kopp, Dmytro Orlovskyi, Sergey Orekhov
- Features of designing and implementing an information system for studying and determining the level of foreign language proficiency 212-225
  Taras Basyuk, Andrii Vasyliuk, Vasyl Lytvyn, Olha Vlasenko
- Peculiarities of organizing the workspace using machine learning methods 226-240
  Taras Basyuk, Andrii Vasyliuk, Lyubomyr Demkiv
- Models and means of object recognition using artificial neural networks 241-251
  Vasyl Teslyuk, Bohdan Borkivskyi, Hamza Ali Alshawabkeh
- Neural Network Modeling of the Social and Economic, Investment and Innovation Policy of the State 252-262
  Rostyslav Yurynets, Zoryna Yurynets, Mariola Grzebyk, Marianna Kokhan, Nataliia Kunanets, Maryna Shevchenko
- Recommendation System for Leisure Time-Management in Quarantine Conditions 263-282
  Oleh Veres, Pavlo Ilchuk, Olha Kots, Yana Levus, Olha Vlasenko
- Machine Learning Model for Paraphrases Detection Based on Text Content Pair Binary Classification 283-306
  Nataliia Kholodna, Victoria Vysotska, Oksana Markiv, Sofia Chyrun
- Experimental and Exploratory Analysis of Programming Languages Popularity According to the PYPL Index 307-332
  Oleksandr Mediakov, Bohdan Korostynskyi, Victoria Vysotska, Oksana Markiv, Sofia Chyrun
- Analysing By-Products Interaction as an Industry Resource of Circular Economy in Ukraine and the World 333-344
  Myroslava Bublyk, Vadym Shandurskyi, Taras Machita, Piotr Grudowski, Oleksandr Pavlyuk
- Analysing the Cases of Population Disease at Critical Levels of Environmental Pollution by Emissions, Discharges, and Waste 345-358
  Myroslava Bublyk, Vadym Humeniuk, Taras Mikhalchuk, Ayhan Surek, Oleksandr Filizhanko
- Intelligent System of Dynamic 2D Visualization of Passenger Flows of Public Transport Routes Based on OpenGL 359-387
  Yurii Matseliukh, Andrii Berko, Agnieszka Kowalska-Styczeń, Lyubomyr Chyrun
- Analysis Method for Determining the Suitability of Water for Human Consumption 388-411
  Oleksiy Tverdokhlib, Denis Shavaev, Yurii Matseliukh, Aleksandr Gozhyj, Anna Maria Trzaskowska, Maksym Korobchynskyi, Lyubomyr Chyrun, Irina Kalinina

2022-12-15: submitted by Victoria Vysotska, metadata incl. bibliographic data published under Creative Commons CC0
2022-12-29: published on CEUR-WS.org |valid HTML5|