Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nikolay N. Nagornov"'
Publikováno v:
IEEE Access, Vol 12, Pp 168428-168444 (2024)
In this paper we propose the fractional gradient descent for increasing the training and work of modern neural networks. This optimizer searches the global minimum of the loss function considering the fractional gradient directions achieved by Rieman
Externí odkaz:
https://doaj.org/article/05b7260c316444f697d41e5b3825d325
Publikováno v:
IEEE Access, Vol 12, Pp 44659-44681 (2024)
The technology development greatly increases the amount of digital visual information. Existing devices cannot efficiently process such huge amounts of data. The technical characteristics of digital image processing (DIP) devices and systems are bein
Externí odkaz:
https://doaj.org/article/5bdf5ab2f26545e69ef77481cbc7e520
Publikováno v:
IEEE Access, Vol 11, Pp 133744-133754 (2023)
Automatic classification of heart rhythm disturbances using an electrocardiogram is a reliable way to timely detect diseases of the cardiovascular system. The need to automate this process is to increase the number of electrocardiogram signals. Class
Externí odkaz:
https://doaj.org/article/72252ffb7dec4a8eb6ad70688c6b8b93
Publikováno v:
IEEE Access, Vol 10, Pp 19215-19231 (2022)
Medical imaging using different modalities has many problems. The main ones are low informativeness, various distortion noises, and a large amount of information. Fusion, denoising, and visual data compression are used to solve them in practice. Disc
Externí odkaz:
https://doaj.org/article/d47db4cfa09948eaa438b85f37da2e7f
Publikováno v:
2022 11th Mediterranean Conference on Embedded Computing (MECO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58e1e3b8f1813a1f1a52635b4abe6cc9
https://doi.org/10.1109/meco55406.2022.9797219
https://doi.org/10.1109/meco55406.2022.9797219
Autor:
Vladimir V. Fedorenko, Ulyana A. Lyakhova, Nikolay N. Nagornov, Georgii A. Efimenko, Dmitrii I. Kaplun
Publikováno v:
2022 11th Mediterranean Conference on Embedded Computing (MECO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33bc6d1bd8bdb285c89d71decddbbbe6
https://doi.org/10.1109/meco55406.2022.9797111
https://doi.org/10.1109/meco55406.2022.9797111