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| No 1 (2016): Radioelectronic and computer systems |
DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS |
Abstract
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Н. И. Федоренко, И. М. Антонян, Р. В. Стецишин, В. С. Харченко |
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| No 4 (2019): Radioelectronic and Computer Systems |
MODELS OF GENERATION OF INPUT DATA OF TRAINING OF NEURAL NETWORK MODULES FOR DIAGNOSTIC OF DISEASES IN UROLOGY |
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Mykola Ivanovych Fedorenko |
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| No 2 (2023): Radioelectronic and Computer Systems |
Continuous cuffless blood pressure measurement using feed-forward neural network |
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Oleh Viunytskyi, Volodymyr Lukin, Alexander Totsky, Vyacheslav Shulgin, Nadejda Kozhemiakina |
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| Vol 2025, No 1 (2025): Radioelectronic and Computer Systems |
Advanced image super-resolution using deep learning approaches |
Abstract
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Mohamed Badiy, Fatima Amounas, Mourade Azrour, Mohammad Ali A. Hammoudeh |
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| No 3 (2017): Radioelectronic and computer systems |
METHOD OF UNSUPERVISED LEARNING OF HIERARCHICAL EXTRACTOR OF VISUAL FEATURES BASED ON MODIFICATION OF NEURAL GAS |
Abstract
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В’ячеслав Васильович Москаленко, Альона Сергіївна Москаленко, Артем Геннадійович Коробов |
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| No 4 (2022): Radioelectronic and Computer Systems |
Predictive model of COVID-19 epidemic process based on neural network |
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Serhii Krivtsov, Ievgen Meniailov, Kseniia Bazilevych, Dmytro Chumachenko |
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| No 3 (2022): Radioelectronic and Computer Systems |
On classifier learning methodologies with application to compressed remote sensing images |
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Galina Proskura, Oleksii Rubel, Vladimir Lukin |
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| No 4 (2016): Radioelectronic and computer systems |
ORGANIZATION OF A TEXT AUTOMATIC SUMMARIZATION SYSTEM BASED ON FUZZY HIERARCHICAL NEURAL NETWORK |
Abstract
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А. Ю. Михайлюк, О. С. Михайлюк, Л. М. Огнівчук, В. П. Тарасенко |
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| No 2 (2023): Radioelectronic and Computer Systems |
Neural network-based methods for finding the shortest path and establishing associative connections between objects |
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Eugene Fedorov, Olga Nechyporenko, Maryna Chychuzhko, Vladyslav Chychuzhko, Ruslan Leshchenko |
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| No 4 (2018): Radioelectronic and Computer Systems |
A MODEL AND LEARNING ALGORITHM OF SMALL-SIZED OBJECT DETECTION SYSTEM FOR COMPACT DRONES |
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В’ячеслав Васильович Москаленко, Альона Сергіївна Москаленко, Артем Геннадійович Коробов, Микола Олександрович Зарецький, Віктор Анатолійович Семашко |
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| No 3 (2018): Radioelectronic and Computer Systems |
MODEL AND TRAINING ALGORITHM OF MALWARE TRAFFIC DETECTOR BASED ON MODIFICATION OF GROWING NEURAL GAS |
Abstract
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В’ячеслав Васильович Москаленко, Альона Сергіївна Москаленко, Микола Олександрович Зарецький |
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| No 1 (2016): Radioelectronic and computer systems |
NOISY TEXTURES DETECTION USING NEURAL NETWORK CLASSIFICATION |
Abstract
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А. В. Науменко, С. С. Кривенко, М. С. Зряхов, В. В. Лукин |
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| No 2 (2022): Radioelectronic and Computer Systems |
Information technology of determination the company's financial condition for the financial planning subsystem of the EPM system |
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Valentyna Moskalenko, Natalia Fonta, Olena Nikulina, Marina Grinchenko, Svetlana Yershova |
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| No 1 (2022): Radioelectronic and Computer Systems |
Convolutional neural network hyperparameter optimization applied to land cover classification |
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Vladyslav Yaloveha, Andrii Podorozhniak, Heorhii Kuchuk |
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| No 2 (2021): Radioelectronic and Computer Systems |
Model and training method for water level classification in sewer pipes based on video inspection data |
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В’ячеслав Васильович Москаленко, Микола Олександрович Зарецький, Артем Геннадійович Коробов, Ярослав Юрійович Ковальський, Артур Фанісович Шаєхов, Віктор Анатолійович Семашко, Андрій Олександрович Панич |
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| No 2 (2023): Radioelectronic and Computer Systems |
Performance comparison of CNNs on high-resolution multispectral dataset applied to land cover classification problem |
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Vladyslav Yaloveha, Andrii Podorozhniak, Heorhii Kuchuk, Nataliia Garashchuk |
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| Vol 2025, No 3 (2025): Radioelectronic and Computer Systems |
A bayesian-driven feedforward neural network model for Kafka cluster latency forecasting |
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Olha Solovei, Tetiana Honcharenko |
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| Vol 2024, No 4 (2024): Radioelectronic and Computer Systems |
Towards the improvement of project team performance based on large language models |
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Mykyta Rohovyi, Marina Grinchenko |
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| No 1 (2023): Radioelectronic and Computer Systems |
Autonomous flight insurance method of unmanned aerial vehicles Parot Mambo using semantic segmentation data |
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David Naso, Olha Pohudina, Andrii Pohudin, Sergiy Yashin, Rossella Bartolo |
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| Vol 2024, No 4 (2024): Radioelectronic and Computer Systems |
The reliably stable neural network controllers' synthesis with the transient process parameters optimization |
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Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko |
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| Vol 2024, No 4 (2024): Radioelectronic and Computer Systems |
Improving the segmentation of the vertebrae using a multi-stage machine learning algorithm |
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Vladyslav Koniukhov |
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| Vol 2024, No 3 (2024): Radioelectronic and Computer Systems |
Analysis of the impact of the contextual embeddings usage on the text classification accuracy |
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Olesia Barkovska, Anton Havrashenko, Vitalii Serdechnyi, Vladyslav Kholiev, Patrik Rusnak |
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| No 2 (2022): Radioelectronic and Computer Systems |
Neural network model of heteroassociative memory for the classification task |
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Tatiana Martyniuk, Bohdan Krukivskyi, Leonid Kupershtein, Vitaliy Lukichov |
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| No 3 (2023): Radioelectronic and Computer Systems |
Method of creation of FPGA based implementation of artificial intelligence as a service |
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Artem Perepelitsyn |
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| No 1 (2019): Radioelectronic and Computer Systems |
APPROACHES TO THE CREATION OF A SOFTWARE AGENT BASED ON META-HEURISTIC AND ARTIFICIAL NEURAL NETWORKS |
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Євген Євгенович Федоров, Марина Володимирівна Чичужко, Владислав Олегович Чичужко |
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