Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Mikhail Erofeev"'
Autor:
Sergey Grazion, Valery Spiryagin, Mikhail Erofeev, Igor Kravchenko, Yury Kuznetsov, Mikhail Mukomela, Sergey Velichko, Aleksandar Ašonja, Larisa Kalashnikova
Publikováno v:
Applied Engineering Letters, Vol 7, Iss 2, Pp 45-53 (2022)
The article presents the results of experimental estimation of the possibility of early registration of structural defects using the acoustic-emission method of control, based on the phenomenon of acoustic emission, which is the excitation of elas
Externí odkaz:
https://doaj.org/article/f6f073c5aaf24486a0a062602f41e579
Publikováno v:
Programming and Computer Software. 47:201-206
In recent years, the field of image inpainting has developed rapidly, learning based approaches show impressive results in the task of filling missing parts in an image. But most deep methods are strongly tied to the resolution of the images on which
Publikováno v:
Scopus-Elsevier
In recent years, the field of image inpainting has developed rapidly, learning-based approaches show impressive results in the task of filling missing parts in an image. But most deep methods are strongly tied to the resolution of the images on which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3c963879d79351e757367724106e357
Publikováno v:
Signal, Image and Video Processing. 13:601-608
Video-completion methods aim to complete selected regions of a video sequence in a natural looking manner with little to no additional user interaction. Numerous algorithms were proposed to solve this problem; however, a unified benchmark to quantify
Recent advances in deep learning have markedly improved the quality of visual-attention modelling. In this work we apply these advances to video compression. We propose a compression method that uses a saliency model to adaptively compress frame area
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbd2e34d303bf0aa48b6b277ac3df89d
http://arxiv.org/abs/1903.07912
http://arxiv.org/abs/1903.07912
The field of automatic image inpainting has progressed rapidly in recent years, but no one has yet proposed a standard method of evaluating algorithms. This absence is due to the problem's challenging nature: image-inpainting algorithms strive for re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dcb001f76aed1d0402a44e60a0dccc1
Publikováno v:
SSRN Electronic Journal.
Machine learning (ML) affects nearly every aspect of our lives, including the weightiest ones such as criminal justice. As it becomes more widespread, however, it raises the question of how we can integrate fairness into ML algorithms to ensure that
Autor:
Dmitriy Petrovskiy, Виктор Михайлович Корнеев (Ru), Юрий Алексеевич Шамарин (Ru), Igor Kravchenko, Mikhail Erofeev, Yuriy Shamarin, Viktor Korneev, Sergey Zhoga
The training manual describes the aspects of the organization of technological preparation of production of technical service enterprises. The method of selection of technological equipment in the system of technical service, based on a comparative a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a7ff27b16c96db32d4eb639a473b31
https://doi.org/10.12737/textbook_5c10d4f2041e91.56370235
https://doi.org/10.12737/textbook_5c10d4f2041e91.56370235
Autor:
M. A. Shulepov, Mikhail Erofeev, Konstantin V. Oskomov, Victor F. Tarasenko, Yury Fedorovich Ivanov
Publikováno v:
Russian Physics Journal. 58:1557-1562
Effect of volume discharge plasma initiated by an avalanche electron beam on the composition, structure, and properties of the surface steel layer is investigated. Voltage pulses with incident wave amplitude up to 30 kV, full width at half maximum of
Publikováno v:
Electronic Imaging. 28:1-10