MoDaST 2025
Modern Data Science Technologies Doctoral Consortium 2025

Table of Contents

• Cover and Preface
  Summary: There were 69 papers submitted for peer-review to this Doctoral Consortium. Out of these, 21 papers were accepted for this volume, 21 as regular papers and 0 as short papers.
  
  
• Syntax-aware tokenizer for Go code style analysis 1-14
  Andrii Berko, Vladyslav Alieksieiev, Andrii Holovko
• A hybrid neural network architecture for semantic-contextual analysis of emotions in social media 15-28
  Vita Kashtan, Volodymyr Hnatushenko, Maksym Ovcharenko, Artem Ivanko
• Mathematical model of a decision support system for identification and correction of errors in Ukrainian texts based on machine learning 29-50
  Rostyslav Fedchuk, Victoria Vysotska
• Methods and tools for automated adaptive traffic light control based on computer vision 51-61
  Vasyl Teslyuk, Iryna Gado, Bohdan Fylypchuk, Andrii Koval
• Research on environmental changes based on fractal characteristics of satellite images 62-71
  Viktoriia Hnatushenko, Anna Zhurba, Andrew Zimoglyad, Kateryna Ostrovska
• Continuous-categorical feature dependence with determination-based correlation coefficient 72-81
  Andrii Berko, Vladyslav Holdovanskyi
• Models and technologies of cognitive agents for decision-making with integration of artificial intelligence 82-96
  Yuliia Kostiuk, Pavlo Skladannyi, Volodymyr Sokolov, Maksym Vorokhob
• Intelligent systems for recognizing artistic styles: a deep learning approach 97-108
  Nataliya Boyko, Yaroslav Borys
• Contextual-formal concept of creating explainable models for corpus linguistics tasks 109-126
  Viacheslav Kovtun, Victoria Vysotska, Oksana Kovtun
• Computational evaluation of logistic potential fields in real-time obstacle navigation 127-140
  Ihor Berizka, Ivan Karbovnyk
• End-to-end development of a retrieval-augmented large language model for cloud-based healthcare applications 141-162
  Vasyl Teslyuk, Olga Narushynska, Maksym Arzubov, Danylo Prots
• Parametric configuration approach of a multidimensional content-based image retrieval model 163-178
  Kyrylo Smelyakov, Stanislav Danylenko, Anastasiya Chupryna, Victoria Vysotska
• Forecasting credit risk using multinomial logistic regression 179-191
  Mariya Nazarkevych, Rostyslav Yurynets, Zoryna Yurynets
• Development of a microcontroller- based climate control system using neural network technologies 192-210
  Taras Basyuk, Andrii Vasyliuk
• Adaptive issue detection in holistic optimization of distributed data streaming systems 211-227
  Victoria Vysotska, Iryna Kyrychenko, Vadym Demchuk
• Modeling an AI-driven adaptive learning platform for students with special educational needs 228-238
  Ihor Chushchak, Vasyl Andrunyk
• Real-time military vehicle classification via convolutional neural networks 239-251
  Anatoly Sachenko, Bohdan Derysh, Lesia Dubchak, Svitlana Sachenko, Oksana Chereshnyuk
• Intelligent adaptive model of helicopter turboshaft engines gas temperature sensor thermocouple 252-274
  Serhii Vladov, Nataliia Vladova, Victoria Vysotska, Vasyl Lytvyn, Mykhailo Luchkevych, Kateryna Surkova
• Modern strategies for data leak detection and prevention in corporate networks 275-292
  Anatoliy Sachenko, Petro Vizhevskyi, Oleg Savenko, Viktor Ostroverkhov, Bogdan Maslyyak
• Information technology for detecting cars on aerial imaging using a modified YOLO-OBB architecture 293-304
  Volodymyr Hnatushenko, Vita Kashtan, Oleksii Kazymyrenko
• Intelligent method of measuring gas temperature of helicopter turboshaft engines with model error compensation 305-321
  Serhii Vladov, Anatoliy Sachenko, Nataliia Vladova, Victoria Vysotska, Sergii Grodskyi, Maclej Dobrowolski