MoMLeT 2024
Modern Machine Learning Technologies Workshop

Table of Contents

• Cover and Preface
  Summary: There were 39 papers submitted for peer-review to Modern Machine Learning Technologies Workshop 2024. Out of these, 21 papers were accepted for this volume.
  
  
• Organization and Committees
  
  
• Organizers and Partners
  
  
• Apple leaf diseases detection using convolutional neural networks 1-14
  Sergey Subbotin, Andrii Oliinyk, Tetiana Kolpakova, Vladyslav Perehuda, Danylo Borovyk
• Application of convolutional neural networks for detection of damaged buildings 15-27
  Aleksandr Gozhyj, Irina Kalinina, Valerii Dymo
• Traffic sign recognition using the mask R-CNN 28-39
  Mykola Korablyov, Natalia Axak, Ihor Ivanisenko, Maksym Kushnaryov, Igor Kobzev
• Influence of chaos on activation functions in Hopfield networks 40-54
  Dmitriy Klyushin, Oleksandr Maistrenko
• A deep neural network model for predicting the competitive score of social projects for community development 55-74
  Anatoliy Tryhuba, Inna Тryhuba, Oksana Malanchuk, Anna Marmulyak
• Audio processing methods for speech emotion recognition using machine learning 75-108
  Oleksii Turuta, Iryna Afanasieva, Nataliia Golian, Vira Golian, Kostiantyn Onyshchenko, Daniil Suvorov
• Bio-inspired optimization of fuzzy control system for inspection robotic platform: comparative analysis of hybrid swarm methods 109-123
  Yuriy Kondratenko, Oleksiy Kozlov, Yue Zheng, Jianjun Wang, Vitalii Kuzmenko, Anna Aleksieieva
• Synthesis of multithreshold neural network classifier 124-137
  Vladyslav Kotsovsky
• Training neural network method modification for forward error propagation based on adaptive components 138-168
  Victoria Vysotska, Vasyl Lytvyn, Mariia Nazarkevych, Serhii Vladov, Ruslan Yakovliev, Alexey Yurko
• Performance evaluation and analysis with code benchmarking and generative AI 169-186
  Andrii Berko, Vladyslav Alieksieiev, Artur Dovbysh
• Preliminary statistical analysis of amino acid sequence embeddings of proteins 187-197
  Krzysztof Fidelis, Mykhailo Luchkevych, Yaroslav Teplyi
• Determination-based correlation coefficient 198-224
  Andrii Berko, Vladyslav Alieksieiev, Vladyslav Holdovanskyi
• Object image recognition using multilayer perceptron combined with Singular value decomposition 225-234
  Vasyl Lytvyn, Ivan Peleshchak, Roman Peleshchak, Iryna Shakleina, Nazarii Mozol, Dmytro Svyshch
• Regression-based method for real-time solar power plant efficiency forecasting 235-245
  Myroslav Komar, Khrystyna Lipianina-Honcharenko, Valentyn Domanskyi, Nazar Melnyk
• Enhancing solar panel efficiency with LSTM-based MPPT controllers 246-258
  Alexander Gozhyj, Vladyslav Nechakhin, Irina Kalinina
• Fractal structure of training of a three-layer neural network 259-272
  Bohdan Melnyk, Serhiy Sveleba, Ivan Katerynchuk, Ivan Kuno, Volodymyr Franiv
• Evaluation of ensemble machine learning models for movie recommendation systems 273-286
  Anatoliy Sachenko, Taras Lendiuk, Khrystyna Lipianina-Honcharenko, Vasyl Koval, Grygoriy Hladiy, Yurii Halias
• Automatic target recognition module development for fire control system based on machine learning 287-303
  Victoria Vysotska, Roman Romanchuk, Mariia Nazarkevych, Oleksandr Lavrut, Tetiana Lavrut, Maksym Pysarchuk
• Assessment of digital tools utilization in marketing activities of enterprises in Ukraine and EU countries using cluster analysis method 304-318
  Nestor Shpak, Kateryna Doroshkevych, Ihor Hrabovych
• Machine learning model for house price predicting based on natural language text data analysis 319-332
  Sergey Bushuyev, Denis Bushuiev, Dmitriy Kravtsov, Nikolay Poletaev, Mykola Malaksiano
• Predictive maintenance for automotive vehicle engines in military logistics 333-344
  Khrystyna Mykich, Iryna Zavushchak, Andrii Savka