Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Sergey Sukhov"'
Autor:
Julia Tagiltseva, Marina Vasilenko, Elena Kuzina, Nikita Drozdov, Victoria Kudryavtseva, Roman Parkhomenko, Alexander Mushegyan, Sergey Sukhov
Publikováno v:
Transportation Research Procedia. 63:271-276
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62531c73732ff4378ac4ea6f12821d81
https://doi.org/10.1016/j.trpro.2022.06.013
https://doi.org/10.1016/j.trpro.2022.06.013
Autor:
Dmitry Antonov, Sergey Sukhov
Publikováno v:
2022 VIII International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fc3919e5b6660baa52fda1a3f2d8488
https://doi.org/10.1109/itnt55410.2022.9848660
https://doi.org/10.1109/itnt55410.2022.9848660
Publikováno v:
Neurocomputing. 400:73-85
Artificial neural networks experience serious catastrophic forgetting (or interference) when information is learned sequentially. A significant effort in the machine learning community is devoted to the solution of this problem. Many approaches to ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f6f1f059d12ccc3219bf7e1b29369d3
https://doi.org/10.1016/j.neucom.2020.03.024
https://doi.org/10.1016/j.neucom.2020.03.024
Publikováno v:
2021 International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3f5da22ac60e9b613c3c005536188c8
https://doi.org/10.1109/itnt52450.2021.9649179
https://doi.org/10.1109/itnt52450.2021.9649179
Publikováno v:
Neural Processing Letters. 51:1-22
Incorporation of a new knowledge into neural networks with simultaneous preservation of the previous one is known to be a nontrivial problem. This problem becomes even more complex when new knowledge is contained not in new training examples, but ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0db3664ac662893deee734c87bdd2827
https://doi.org/10.1007/s11063-019-10074-0
https://doi.org/10.1007/s11063-019-10074-0
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030870126
ICCSA (9)
ICCSA (9)
This article describes an approach to automatic recognition of charts images using neural networks with hybrid deep learning model, which allows to extract data from an image and use this data to quickly find information, as well as to describe chart
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a882b02bd4e54900b8b7abc284a3f6eb
https://doi.org/10.1007/978-3-030-87013-3_29
https://doi.org/10.1007/978-3-030-87013-3_29
Publikováno v:
Recent Research in Control Engineering and Decision Making ISBN: 9783030652821
This article describes a software package for analyzing images from the camera of a mobile robot using neural networks. A key feature of the proposed solution is the model that generates recommendations for the robot about the direction of the furthe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5703172c53cc0b7e6c621ec2bbbaabe
https://doi.org/10.1007/978-3-030-65283-8_22
https://doi.org/10.1007/978-3-030-65283-8_22
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030588168
ICCSA (6)
ICCSA (6)
This article describes the design process of a software package for image recognition of a mobile robot camera using neural networks with attention, which allows to identify the probability of a robot colliding with obstacles standing in its way. A k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1863255682d77e7f9888ac603491521b
https://doi.org/10.1007/978-3-030-58817-5_72
https://doi.org/10.1007/978-3-030-58817-5_72
Autor:
Alexander S. Shalin, Mihail Petrov, Alexey Proskurin, Alexey V. Krasavin, Pavel Ginzburg, N. A. Kostina, Andrey Bogdanov, Alina Karabchevsky, Aliaksandra Ivinskaya, Sergey Sukhov
Publikováno v:
ACS Photonics. 5:4371-4377
Auxiliary nanostructures introduce additional flexibility into optomechanical manipulation schemes. Metamaterials and metasurfaces capable to control electromagnetic interactions at the near-field regions are especially beneficial for achieving impro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9932f3e595213e42efb22da2af266937
https://doi.org/10.1021/acsphotonics.8b00775
https://doi.org/10.1021/acsphotonics.8b00775
Autor:
Sergey Sukhov
Publikováno v:
Journal of Communications Technology and Electronics. 63:1137-1142
Advanced techniques for optical manipulation of nanoscale objects are presented. Possible mechanisms of enhancement of the effect of light on nanoobjects are listed. Enhancements by plasmon effects, field amplification in high-Q resonators, and colle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::303752f5f5c6f5afebb451ce833b82f7
https://doi.org/10.1134/s1064226918100170
https://doi.org/10.1134/s1064226918100170