MoMLeT 2025
Modern Machine Learning Technologies Workshop

Table of Contents

• Cover and Preface
  Summary: There were 60 papers submitted for peer-review to this Workshop. Out of these, 28 papers were accepted for this volume, 28 as regular papers and 0 as short papers.
  
  
• Real-time parking space monitoring system based on computer vision 1-11
  Svitlana Popereshnyak, Dmytro Chornobryvets
• An approach to combining forecasts when solving machine learning problems 12-24
  Peter Bidyuk, Irina Kalinina, Aleksandr Gozhyj, Victor Gozhyi, Sergii Shiyan
• Conscience conflict? Evaluating language models' moral understanding 25-38
  Asutosh Hota, Jussi P.P. Jokinen
• Optimizing file routing in EDI using the new naming principle 39-51
  Olha Yanholenko, Nataliia Khatsko, Andrii Kopp, Kyrylo Khatsko, Yevhenii Shebanov
• Modeling changes of opinions as transition probabilities within one- and two-level model "State-Probability of Action" 52-61
  Oleksiy Oletsky, Dmytro Peleshko, Vitalii Moholivskyi
• Exploring Yolo architecture for detection of Ukrainian car license plates in images 62-72
  Oleh Petryliak, Svitlana Kostenko, Lesia Dobuliak, Lyubomyr Chyrun
• Towards information technology for BPMN models quality assessment based on intelligence theory 73-85
  Olha Yanholenko, Andrii Kopp, Mykhailo Godlevskyi, Dmytro Orlovskyi, Nataliia Khatsko
• Transformer-based multilabel classification for identifying hidden psychological conditions in online posts 86-97
  Iurii Krak, Olexander Mazurets, Oleksandr Ovcharuk, Maryna Molchanova, Olexander Barmak, Larysa Azarova
• Algorithmic methods of constructing the space of parameter increments in automated control systems of energy processes 98-108
  Maria Yukhimchuk, Viacheslav Kovtun, Yurii Horchuk, Vladyslav Lesko
• Improving the efficiency of damaged buildings detection based on ASPP technologies 109-120
  Valerii Dymo, Aleksandr Gozhyj, Irina Kalinina
• Increasing the efficiency of decision-making in a decentralized autonomous organization in the warehousing sector 121-134
  Myroslav Komar, Andrii Taborovskyi, Ihor Maykiv, Serhii Hutsal, Dmytro Diuh
• Modeling and implementation of a secure freelance platform based on Ethereum smart contracts 135-145
  Svitlana Popereshnyak, Maksym Bielikov, Anton Bur
• Real-time adaptive cleaning of iot sensor data using machine learning noise classification and rule-based refinement 146-156
  Viktoriia Zhebka, Svitlana Shlyanchak, Svitlana Popereshnyak, Dmytro Nishchemenko
• Hypergraph structures for parallel integration of databases into CRM 157-166
  Oleksandr Tymchenko, Bohdana Havrysh, Orest Khamula, Volodymyr Chorniak
• Analytical evaluation of the performance of a highloaded 5G-IoT ecosystem functioning 167-184
  Viacheslav Kovtun, Oksana Kovtun, Maria Yukhimchuk
• Ontology control system in Neo4j 185-196
  Serhii Vladov, Anna Bakurova, Ivan Omelianenko, Ruslan Sirenko, Elina Tereschenko
• Automatic detection of Russia-Ukraine war euphemisms 197-207
  Iryna Dilai, Maksym Davydov, Anna Feldman, Olha Oleksyn, Svitlana Kohut, Olha Baranovska
• Intellectual analysis for Ukrainian refugees' number dynamics depending on attack frequency from russian federation 208-253
  Victoria Vysotska, Viktoriia Yakovlieva, Sofiia Ivaniv, Iryna Shakleina
• Phase shift measurement method based on a half-period converter with amplitude-time conversion in the development of modern weapon systems 254-267
  Zoriana Rybchak, Iryna Zavushchak, Sergey Tyshko, Maksym Herashchenko, Oleksandr Lavrut, Tetiana Lavrut, Serhii Kravchenko
• Detection and recognition of mines using magnetic field sensors and Kolmogorov-Arnold networks 268-281
  Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Viacheslav Beltiukov, Danylo Chystyakov, Yaroslav Kis
• Integrating сonvolutional neural networks and autoencoders for skin lesion diagnosis 282-300
  Kateryna Bilyk, Olga Narushynskа, Petro Liashchynskyi, Vasyl Teslyuk
• Rule-based method for aligning media content with Ukrainian legislation 301-311
  Khrystyna Lipianina-Honcharenko, Ihor Ihnatiev, Hennadii Bohuta, Khrystyna Yurkiv, Stanislav Novosad
• Identification of unmanned aerial vehicles using RF fingerprinting and deep learning networks 312-326
  Yuriy Kondratenko, Ivan Sova, Oleksiy Kozlov, Vitalii Kuzmenko
• Towards complexity reduction of large-scale epidemic simulation in two-scale networks 327-336
  Yulian Kuryliak, Michael Emmerich
• Machine learning-driven UAV mapping for automated detection of nutritional deficiencies and diseases in wheat 337-346
  Maxim Ivanytskyi, Yuliya Averyanova, Nadiia Sauliak, Yevheniia Znakovska
• Augmented reality audiostream creation using CNN: boosting inclusion and safety for visually impaired people 347-361
  Olexander Mazurets, Olena Sobko, Rostyslav Dydo, Olha Zalutska, Maryna Molchanova
• Predicting forest fire : a new hybrid approach 362-371
  Houda El Bouhissi, Naima Illoul, Tetiana Hovorushchenko, Olga Pavlova
• Choosing the best location for a trip based on the TOPSIS method 372-399
  Oleh Veres, Pavlo Ilchuk, Olha Kots, Yurii Veres