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