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Your search keyword '"Gordienko, Yuri"' showing total 40 results
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40 results on '"Gordienko, Yuri"'

1. Machine Learning Method for Detecting Propaganda in Twitter Texts

Author

Mynzar, Bohdan, Stetsenko, Inna, Gordienko, Yuri, Stirenko, Sergii, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kazymyr, Volodymyr, editor, Morozov, Anatoliy, editor, Palagin, Alexander, editor, Shkarlet, Serhiy, editor, Stoianov, Nikolai, editor, Vinnikov, Dmitri, editor, and Zheleznyak, Mark, editor

Published
2024
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2. Multimodal Metadata Augmentation for Federated Learning in Medical Applications

Author

Gordienko, Yuri, Shulha, Maksym, Kochura, Yuriy, Rokovyi, Oleksandr, Taran, Vladyslav, Alienin, Oleg, Stirenko, Sergii, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2024
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3. Application of Neural Graphics Primitives Models for 3D Representation of Devastation Caused by Russian Aggression in Ukraine

Author

Oholtsov, Illia, Gordienko, Yuri, Ladonia, Mariia, Telenyk, Sergii, Nowakowski, Grzegorz, Stirenko, Sergii, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Franco, Leonardo, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor

Published
2024
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4. Hybrid Neural Networks for Medical Image Classification

Author

Khmelnytskyi, Arsenii, Stirenko, Sergii, Gordienko, Yuri, Hameurlain, Abdelkader, Editorial Board Member, Rocha, Álvaro, Series Editor, Idri, Ali, Editorial Board Member, Vaseashta, Ashok, Editorial Board Member, Dubey, Ashwani Kumar, Editorial Board Member, Montenegro, Carlos, Editorial Board Member, Laporte, Claude, Editorial Board Member, Moreira, Fernando, Editorial Board Member, Peñalvo, Francisco, Editorial Board Member, Dzemyda, Gintautas, Editorial Board Member, Mejia-Miranda, Jezreel, Editorial Board Member, Hall, Jon, Editorial Board Member, Piattini, Mário, Editorial Board Member, Holanda, Maristela, Editorial Board Member, Tang, Mincong, Editorial Board Member, Ivanovíc, Mirjana, Editorial Board Member, Muñoz, Mirna, Editorial Board Member, Kanth, Rajeev, Editorial Board Member, Anwar, Sajid, Editorial Board Member, Herawan, Tutut, Editorial Board Member, Colla, Valentina, Editorial Board Member, Devedzic, Vladan, Editorial Board Member, Manoharan, S., editor, Tugui, Alexandru, editor, and Baig, Zubair, editor

Published
2024
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10. Expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation

Author

Statkevych, Roman, Gordienko, Yuri, Stirenko, Sergii, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Korytkowski, Marcin, editor, Pedrycz, Witold, editor, Tadeusiewicz, Ryszard, editor, and Zurada, Jacek M., editor

Published
2023
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11. Object Detection for Rescue Operations by High-Altitude Infrared Thermal Imaging Collected by Unmanned Aerial Vehicles

Author

Polukhin, Andrii, Gordienko, Yuri, Jervan, Gert, Stirenko, Sergii, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pertusa, Antonio, editor, Gallego, Antonio Javier, editor, Sánchez, Joan Andreu, editor, and Domingues, Inês, editor

Published
2023
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14. Impact of Multimodal Model Complexity on Classification of Diabetic Retinopathy Level

Author

Shulha, Maksym, Gordienko, Yuri, Stirenko, Sergii, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, García Márquez, Fausto Pedro, editor, Jamil, Akhtar, editor, Eken, Süleyman, editor, and Hameed, Alaa Ali, editor

Published
2023
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15. Multi-label Classification of Cervix Types with Image Size Optimization for Cervical Cancer Prescreening by Deep Learning

Author

Tomko, Maryna, Pavliuchenko, Mykhaylo, Pavliuchenko, Ivan, Gordienko, Yuri, Stirenko, Sergii, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Smys, S., editor, Kamel, Khaled A., editor, and Palanisamy, Ram, editor

Published
2023
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16. Deep Learning with Metadata Augmentation for Classification of Diabetic Retinopathy Level

Author

Shulha, Maksym, Gordienko, Yuri, Stirenko, Sergii, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Shakya, Subarna, editor, Balas, Valentina Emilia, editor, and Haoxiang, Wang, editor

Published
2023
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17. Implementation of Personalized Medicine by Artificial Intelligence Platform

Author

Yakimenko, Yurii, Stirenko, Sergii, Koroliouk, Dimitri, Gordienko, Yuri, Zanzotto, Fabio Massimo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ranganathan, G., editor, Fernando, Xavier, editor, and Piramuthu, Selwyn, editor

Published
2023
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18. Effect of Small Dataset Quality on Deep Neural Network Performance for Lyme Disease Classification

Author

Oholtsov, Illia, Gordienko, Yuri, Stirenko, Sergii, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ranganathan, G., editor, Fernando, Xavier, editor, and Piramuthu, Selwyn, editor

Published
2023
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24. Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography

Author

Gordienko, Nikita, Rokovyi, Oleksandr, Gordienko, Yuri, Stirenko, Sergii, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kurosu, Masaaki, editor, Yamamoto, Sakae, editor, Mori, Hirohiko, editor, Schmorrow, Dylan D., editor, Fidopiastis, Cali M., editor, Streitz, Norbert A., editor, and Konomi, Shin'ichi, editor

Published
2022
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28. Optimization of Deep Learning Neural Network by Analysis of Cross-Validated Metrics with and Without Data Augmentation

Author

Gordienko, Yuri, Ladonia, Mariia, Stirenko, Sergii, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Hu, Zhengbing, editor, Petoukhov, Sergey, editor, Yanovsky, Felix, editor, and He, Matthew, editor

Published
2022
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35. Multimodal Quanvolutional and Convolutional Neural Networks for Multi-Class Image Classification.

Author

Gordienko, Yuri, Trochun, Yevhenii, and Stirenko, Sergii

Subjects
IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, HURRICANE damage, IMAGE processing, SUSTAINABLE architecture
Abstract

By utilizing hybrid quantum–classical neural networks (HNNs), this research aims to enhance the efficiency of image classification tasks. HNNs allow us to utilize quantum computing to solve machine learning problems, which can be highly power-efficient and provide significant computation speedup compared to classical operations. This is particularly relevant in sustainable applications where reducing computational resources and energy consumption is crucial. This study explores the feasibility of a novel architecture by leveraging quantum devices as the first layer of the neural network, which proved to be useful for scaling HNNs' training process. Understanding the role of quanvolutional operations and how they interact with classical neural networks can lead to optimized model architectures that are more efficient and effective for image classification tasks. This research investigates the performance of HNNs across different datasets, including CIFAR100 and Satellite Images of Hurricane Damage by evaluating the performance of HNNs on these datasets in comparison with the performance of reference classical models. By evaluating the scalability of HNNs on diverse datasets, the study provides insights into their applicability across various real-world scenarios, which is essential for building sustainable machine learning solutions that can adapt to different environments. Leveraging transfer learning techniques with pre-trained models such as ResNet, EfficientNet, and VGG16 demonstrates the potential for HNNs to benefit from existing knowledge in classical neural networks. This approach can significantly reduce the computational cost of training HNNs from scratch while still achieving competitive performance. The feasibility study conducted in this research assesses the practicality and viability of deploying HNNs for real-world image classification tasks. By comparing the performance of HNNs with classical reference models like ResNet, EfficientNet, and VGG-16, this study provides evidence of the potential advantages of HNNs in certain scenarios. Overall, the findings of this research contribute to advancing sustainable applications of machine learning by proposing novel techniques, optimizing model architectures, and demonstrating the feasibility of adopting HNNs for real-world image classification problems. These insights can inform the development of more efficient and environmentally friendly machine learning solutions. [ABSTRACT FROM AUTHOR]

Published
2024
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