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MoMLeT 2024: Lviv, Ukraine
- Michael Emmerich, Vasyl Lytvyn, Victoria Vysotska:
Proceedings of the Modern Machine Learning Technologies Workshop (MoMLeT 2024), Lviv, Ukraine, May 31 - June 1, 2024. CEUR Workshop Proceedings 3711, CEUR-WS.org 2024 - Sergey Subbotin, Andrii Oliinyk, Tetiana Kolpakova, Vladyslav Perehuda, Danylo Borovyk:
Apple leaf diseases detection using convolutional neural networks. 1-14 - Aleksandr Gozhyj, Irina Kalinina, Valerii Dymo:
Application of convolutional neural networks for detection of damaged buildings. 15-27 - Mykola Korablyov, Natalia Axak, Ihor Ivanisenko, Maksym Kushnaryov, Igor Kobzev:
Traffic sign recognition using the mask R-CNN. 28-39 - Dmitriy Klyushin, Oleksandr Maistrenko:
Influence of chaos on activation functions in Hopfield networks. 40-54 - Anatoliy Tryhuba, Inna Tryhuba, Oksana Malanchuk, Anna Marmulyak:
A deep neural network model for predicting the competitive score of social projects for community development. 55-74 - Oleksii Turuta, Iryna Afanasieva, Nataliia Golian, Vira Golian, Kostiantyn Onyshchenko, Daniil Suvorov:
Audio processing methods for speech emotion recognition using machine learning. 75-108 - Yuriy P. Kondratenko, Oleksiy V. Kozlov, Yue Zheng, Jianjun Wang, Vitalii Kuzmenko, Anna Aleksieieva:
Bio-inspired optimization of fuzzy control system for inspection robotic platform: comparative analysis of hybrid swarm methods. 109-123 - Vladyslav Kotsovsky:
Synthesis of multithreshold neural network classifier. 124-137 - Victoria Vysotska, Vasyl Lytvyn, Mariia Nazarkevych, Serhii Vladov, Ruslan Yakovliev, Alexey Yurko:
Training neural network method modification for forward error propagation based on adaptive components. 138-168 - Andrii Berko, Vladyslav Alieksieiev, Artur Dovbysh:
Performance evaluation and analysis with code benchmarking and generative AI. 169-186 - Krzysztof Fidelis, Mykhailo Luchkevych, Yaroslav Teplyi:
Preliminary statistical analysis of amino acid sequence embeddings of proteins. 187-197 - Andrii Berko, Vladyslav Alieksieiev, Vladyslav Holdovanskyi:
Determination-based correlation coefficient. 198-224 - Vasyl Lytvyn, Ivan Peleshchak, Roman Peleshchak, Iryna Shakleina, Nazarii Mozol, Dmytro Svyshch:
Object image recognition using multilayer perceptron combined with Singular value decomposition. 225-234 - Myroslav Komar, Khrystyna Lipianina-Honcharenko, Valentyn Domanskyi, Nazar Melnyk:
Regression-based method for real-time solar power plant efficiency forecasting. 235-245 - Alexander Gozhyj, Vladyslav Nechakhin, Irina Kalinina:
Enhancing solar panel efficiency with LSTM-based MPPT controllers. 246-258 - Bohdan Melnyk, Serhiy Sveleba, Ivan Katerynchuk, Ivan Kunyo, Volodymyr Franiv:
Fractal structure of training of a three-layer neural network. 259-272 - Anatoliy Sachenko, Taras Lendiuk, Khrystyna Lipianina-Honcharenko, Vasyl Koval, Grygoriy Hladiy, Yurii Halias:
Evaluation of ensemble machine learning models for movie recommendation systems. 273-286 - Victoria Vysotska, Roman Romanchuk, Mariia Nazarkevych, Oleksandr Lavrut, Tetiana Lavrut, Maksym Pysarchuk:
Automatic target recognition module development for fire control system based on machine learning. 287-303 - Nestor Shpak, Kateryna Doroshkevych, Ihor Hrabovych:
Assessment of digital tools utilization in marketing activities of enterprises in Ukraine and EU countries using cluster analysis method. 304-318 - Sergey Bushuyev, Denis Bushuiev, Dmitriy Kravtsov, Nikolay Poletaev, Mykola Malaksiano:
Machine learning model for house price predicting based on natural language text data analysis. 319-332 - Khrystyna Mykich, Iryna Zavushchak, Andrii Savka:
Predictive maintenance for automotive vehicle engines in military logistics. 333-344
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