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MoDaST 2025: Lviv, Ukraine
- Vasyl Lytvyn, Agnieszka Kowalska-Styczen, Lyubomyr Chyrun:

Proceedings of the Modern Data Science Technologies Doctoral Consortium, MoDaST 2025, Lviv, Ukraine, June 15-16, 2025. CEUR Workshop Proceedings 4005, CEUR-WS.org 2025 - Andrii Berko, Vladyslav Alieksieiev, Andrii Holovko:

Syntax-aware tokenizer for Go code style analysis. 1-14 - Vita Kashtan, Volodymyr V. Hnatushenko, Maksym Ovcharenko, Artem Ivanko:

A hybrid neural network architecture for semantic-contextual analysis of emotions in social media. 15-28 - Rostyslav Fedchuk, Victoria Vysotska:

Mathematical model of a decision support system for identification and correction of errors in Ukrainian texts based on machine learning. 29-50 - Vasyl Teslyuk, Iryna Gado, Bohdan Fylypchuk, Andrii Koval:

Methods and tools for automated adaptive traffic light control based on computer vision. 51-61 - Viktoriia Hnatushenko, Anna Zhurba, Andrew Zimoglyad, Kateryna Ostrovska:

Research on environmental changes based on fractal characteristics of satellite images. 62-71 - Andrii Berko, Vladyslav Holdovanskyi:

Continuous-categorical feature dependence with determination-based correlation coefficient. 72-81 - Yuliia Kostiuk, Pavlo Skladannyi, Volodymyr Sokolov, Maksym Vorokhob:

Models and technologies of cognitive agents for decision-making with integration of artificial intelligence. 82-96 - Nataliya Boyko, Yaroslav Borys:

Intelligent systems for recognizing artistic styles: a deep learning approach. 97-108 - Viacheslav Kovtun, Victoria Vysotska, Oksana V. Kovtun:

Contextual-formal concept of creating explainable models for corpus linguistics tasks. 109-126 - Ihor Berizka, Ivan D. Karbovnyk:

Computational evaluation of logistic potential fields in real-time obstacle navigation. 127-140 - Vasyl Teslyuk, Olga Narushynska, Maksym Arzubov, Danylo Prots:

End-to-end development of a retrieval-augmented large language model for cloud-based healthcare applications. 141-162 - Kyrylo Smelyakov, Stanislav Danylenko, Anastasiya Chupryna, Victoria Vysotska:

Parametric configuration approach of a multidimensional content-based image retrieval model. 163-178 - Mariya Nazarkevych, Rostyslav Yurynets, Zoryna Yurynets:

Forecasting credit risk using multinomial logistic regression. 179-191 - Taras Basyuk, Andrii Vasyliuk:

Development of a microcontroller- based climate control system using neural network technologies. 192-210 - Victoria Vysotska, Iryna Kyrychenko, Vadym Demchuk:

Adaptive issue detection in holistic optimization of distributed data streaming systems. 211-227 - Ihor Chushchak, Vasyl Andrunyk:

Modeling an AI-driven adaptive learning platform for students with special educational needs. 228-238 - Anatoly Sachenko, Bohdan Derysh, Lesia Dubchak, Svitlana Sachenko, Oksana Chereshnyuk:

Real-time military vehicle classification via convolutional neural networks. 239-251 - Serhii Vladov, Nataliia Vladova, Victoria Vysotska, Vasyl Lytvyn, Mykhailo Luchkevych, Kateryna Surkova:

Intelligent adaptive model of helicopter turboshaft engines gas temperature sensor thermocouple. 252-274 - Anatoliy Sachenko, Petro Vizhevskyi, Oleg Savenko, Viktor Ostroverkhov, Bogdan Maslyyak:

Modern strategies for data leak detection and prevention in corporate networks. 275-292 - Volodymyr V. Hnatushenko, Vita Kashtan, Oleksii Kazymyrenko:

Information technology for detecting cars on aerial imaging using a modified YOLO-OBB architecture. 293-304 - Serhii Vladov, Anatoliy Sachenko, Nataliia Vladova, Victoria Vysotska, Sergii Grodskyi, Maclej Dobrowolski:

Intelligent method of measuring gas temperature of helicopter turboshaft engines with model error compensation. 305-321

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