Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Sergii Stirenko"'
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 7, p 75 (2024)
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-effic
Externí odkaz:
https://doaj.org/article/102916b5ef914494bea4a033e31a1336
Autor:
Jiashu Xu, Sergii Stirenko
Publikováno v:
IEEE Access, Vol 11, Pp 82400-82409 (2023)
Self-supervised learning has emerged as an increasingly popular research topic within the field of computer vision. In this study, we propose a novel self-supervised learning approach based on Mixup features as pretext tasks. The proposed method aims
Externí odkaz:
https://doaj.org/article/166c67681533442c98cde0e3510691c5
Publikováno v:
Inventive Computation and Information Technologies ISBN: 9789811974014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3c1727ce2a4507c40a85ca56453188f
https://doi.org/10.1007/978-981-19-7402-1_63
https://doi.org/10.1007/978-981-19-7402-1_63
Autor:
Yuri Gordienko, Maksym Shulha, Yuriy Kochura, Oleksandr Rokovyi, Oleg Alienin, Sergii Stirenko
Publikováno v:
Mobile Computing and Sustainable Informatics ISBN: 9789819908349
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c70b2eb609c1c664b2570b16b803028a
https://doi.org/10.1007/978-981-99-0835-6_11
https://doi.org/10.1007/978-981-99-0835-6_11
Publikováno v:
Computational Intelligence, Data Analytics and Applications ISBN: 9783031270987
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f25cff457a8c3b272d6d9488683a0c32
https://doi.org/10.1007/978-3-031-27099-4_13
https://doi.org/10.1007/978-3-031-27099-4_13
Publikováno v:
Proceedings of Third International Conference on Sustainable Expert Systems ISBN: 9789811978739
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0c79ef71eeb3734c9d35d9314775c25
https://doi.org/10.1007/978-981-19-7874-6_46
https://doi.org/10.1007/978-981-19-7874-6_46
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811935893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6371c08cc212ba768ef9b9cc64ead4c9
https://doi.org/10.1007/978-981-19-3590-9_44
https://doi.org/10.1007/978-981-19-3590-9_44
Publikováno v:
Radio Electronics, Computer Science, Control. 1:136-143
Context. Machine learning is one of the actively developing areas of data processing. Reinforcement learning is a class of machine learning methods where the problem involves mapping the sequence of environmental states to agent’s actions. Signific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f716ff0f87f998a6ccbe28fdf8f25b2
https://doi.org/10.15588/1607-3274-2021-1-14
https://doi.org/10.15588/1607-3274-2021-1-14
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031038761
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cabf0bf38f8a6c2c772b1816d2a83ce5
https://doi.org/10.1007/978-3-031-03877-8_22
https://doi.org/10.1007/978-3-031-03877-8_22
Publikováno v:
Advances in Artificial Systems for Logistics Engineering ISBN: 9783031048081
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d28db76600ea0440e1c9d5f3b49d6e2d
https://doi.org/10.1007/978-3-031-04809-8_8
https://doi.org/10.1007/978-3-031-04809-8_8