Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yuriy Kochura"'
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:
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
Publikováno v:
Advances in Artificial Systems for Logistics Engineering ISBN: 9783031048081
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdc7c4781135a71a177d97ff7158063f
https://doi.org/10.1007/978-3-031-04809-8_6
https://doi.org/10.1007/978-3-031-04809-8_6
Autor:
Volodymyr Doms, Yuriy Kochura, Oleg Alienin, Yuri Gordienko, Oleksandr Rokovyi, Sergii Stirenko
Publikováno v:
Advances in Artificial Systems for Logistics Engineering ISBN: 9783030804749
Recently, the numerous deep learning (DL) approaches were successfully applied for analysis of the melanoma that is one of the most dangerous skin cancer types. This work is devoted to investigation of various DL neural networks (DNNs) applied to mel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a85cd50ea06eb3cd9747f24c3e66a68e
https://doi.org/10.1007/978-3-030-80475-6_13
https://doi.org/10.1007/978-3-030-80475-6_13
Autor:
Yuri Gordienko, Oleksandr Rokovyi, Sergii Stirenko, Oleg Alienin, Yuriy Kochura, Vlad Taran, Nikita Gordienko
Publikováno v:
Advances in Computers ISBN: 9780128231234
In the context of edge computing (EC) paradigm the new type of specific System on a Chip (SoC) devices with tensor processing architectures (TPAs) appeared for running deep learning (DL) models efficiently on edge computing accelerators (ECAs). Despi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb7394f43a6842a9e3bbc691880c9bd4
https://doi.org/10.1016/bs.adcom.2020.10.003
https://doi.org/10.1016/bs.adcom.2020.10.003
Autor:
Sergii Stirenko, Vlad Taran, Yuriy Kochura, Oleg Alienin, Yuri Gordienko, Nikita Gordienko, Alexandr Rokovyi
Publikováno v:
Deep Learning: Concepts and Architectures ISBN: 9783030317553
Specialized tensor processing architectures (TPA) targeted for neural network processing has attracted a lot of attention in recent years. The computing complexity of the algorithmically different components of some deep neural networks (DNNs) was co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09c62c328b37b7efe5fff65255ea68b9
https://doi.org/10.1007/978-3-030-31756-0_3
https://doi.org/10.1007/978-3-030-31756-0_3
Publikováno v:
2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT).
The new adaptive iterative pruning (AIP) approach is proposed. It differs from the standard iterative pruning- retraining scheme by the adaptively changing hyperparameters by linear, multiplicative, or adaptive laws (batch size, number of epochs, a m
Autor:
Nikita Gordienko, Alexandr Rokovyi, Yuriy Kochura, Yuri Gordienko, Sergii Stirenko, Vlad Taran, Oleg Alienin
Publikováno v:
Advances in Computer Science for Engineering and Education II ISBN: 9783030166205
The impact of the maximally possible batch size (for the better runtime) on performance of graphic processing units (GPU) and tensor processing units (TPU) during training and inference phases is investigated. The numerous runs of the selected deep n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::781f908c32bd67640f2a3f2eaa3121dd
https://doi.org/10.1007/978-3-030-16621-2_61
https://doi.org/10.1007/978-3-030-16621-2_61
Autor:
Peng Gang, Yuriy Kochura, Wei Zeng, Sergii Stirenko, Oleksandr Rokovyi, Oleg Alienin, Yuri Gordienko
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030368074
ICONIP (4)
ICONIP (4)
The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable predictions of some lung diseases by computer-aided diagnosis (CADx) based on the convolutional neural network (CNN) are presented for the largest open CXR datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02727736f3c6fa38be0da23a0d70bbac
https://doi.org/10.1007/978-3-030-36808-1_36
https://doi.org/10.1007/978-3-030-36808-1_36
Autor:
Alexandr Rokovyi, Yuriy Kochura, Nikita Gordienko, Oleg Alienin, Sergii Stirenko, Vlad Taran, Yuri Gordienko
Publikováno v:
CompSysTech
Semantic image segmentation is one the most demanding task, especially for analysis of traffic conditions for self-driving cars. Here the results of application of several deep learning architectures (PSPNet and ICNet) for semantic image segmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e389540c9da65a392056b194d15c51ff
http://arxiv.org/abs/1806.01896
http://arxiv.org/abs/1806.01896