Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Sergey Rodionov"'
Autor:
Stanislav Evlashin, Pavel Dyakonov, Mikhail Tarkhov, Sarkis Dagesyan, Sergey Rodionov, Anastasia Shpichka, Mikhail Kostenko, Stepan Konev, Ivan Sergeichev, Petr Timashev, Iskander Akhatov
Publikováno v:
Materials, Vol 12, Iss 18, p 2991 (2019)
Developing bone scaffolds can greatly improve the patient’s quality of life by accelerating the rehabilitation process. In this paper, we studied the process of composite polycaprolactone supercritical foaming for tissue engineering. The influence
Externí odkaz:
https://doaj.org/article/543ec7eb3eb5426c97f77b0e5c6dca98
Autor:
Pavel Markov, Sergey Rodionov
Publikováno v:
Computation, Vol 7, Iss 3, p 45 (2019)
This article presents the applications of continuous symmetry groups to the computational fluid dynamics simulation of gas flow in porous media. The family of equations for one-phase flow in porous media, such as equations of gas flow with the Klinke
Externí odkaz:
https://doaj.org/article/026113c7c99b412ab1a038e942781659
Publikováno v:
2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T).
The information and communication systems (ICS) of objects, especially those of critical use, are faced with increasingly stringent requirements to ensure the effectiveness of their functioning (speed of information transfer, survivability, informati
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030657253
NEW2AN/ruSMART
NEW2AN/ruSMART
This article describes an approach to parallelization of data mining algorithms in the framework of agent-oriented programming for distributed data processing. The conversion of Naive Bayes algorithm into agent-oriented form for distributed execution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a40ffe56b3660358f6568602dbefb4a5
https://doi.org/10.1007/978-3-030-65726-0_13
https://doi.org/10.1007/978-3-030-65726-0_13
Autor:
Alexey Potapov, Vitaly Bogdanov, Vita Potapova, Anatoly Belikov, Oleg Scherbakov, Artem Yashenko, Sergey Rodionov
Publikováno v:
Artificial General Intelligence ISBN: 9783030521516
AGI
AGI
Many benchmarks and challenges for AI and AGI exist, which help to reveal both short- and long-term topics and directions of research. We analyze elementary school Olympiad math tasks as a possible benchmark for AGI that can occupy a certain free nic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::335fed256a81f16c764339f1cdcaf3f5
https://doi.org/10.1007/978-3-030-52152-3_29
https://doi.org/10.1007/978-3-030-52152-3_29
Publikováno v:
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, 2017, 468 (1), pp.994-1004. ⟨10.1093/mnras/stx481⟩
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2017, 468 (1), pp.994-1004. ⟨10.1093/mnras/stx481⟩
Monthly Notices of the Royal Astronomical Society, 2017, 468 (1), pp.994-1004. ⟨10.1093/mnras/stx481⟩
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2017, 468 (1), pp.994-1004. ⟨10.1093/mnras/stx481⟩
We study the effect of angular momentum on the surface density profiles of disc galaxies, using high resolution simulations of major mergers whose remnants have downbending radial density profiles (type II). As described in the previous papers of thi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030308582
NEW2AN
NEW2AN
This article describes an approach to parallelizing of data mining algorithms in logical programming framework, for distributed data processing in cluster. As an example Naive Bayes algorithm implementation in Prolog framework, its conversion into pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7372a13b34c17798f23c58fa273f3807
https://doi.org/10.1007/978-3-030-30859-9_8
https://doi.org/10.1007/978-3-030-30859-9_8
Publikováno v:
Journal of Optical Technology. 87:487
In this work, models for re-identification of pedestrians, based on deep learning, are studied. The models considered here use only images of pedestrians and do not require additional spatiotemporal information that can vary in different instances. A
Autor:
A. V. Yashchenko, Sergey Rodionov, Maxim Peterson, O. V. Shcherbakov, Innokentii Zhdanov, Alexey Potapov
Publikováno v:
Journal of Optical Technology. 86:769
Generative neural network models for visual concept learning and the problem of approximating image distribution density are studied. A criterion for an image to belong to a simulated class is introduced based on an estimate of the probability in the
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014230
ICANN (3)
ICANN (3)
Cross-dataset transfer learning is an important problem in person re-identification (Re-ID). Unfortunately, not too many deep transfer Re-ID models exist for realistic settings of practical Re-ID systems. We propose a purely deep transfer Re-ID model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a8972aaadc927585deefdaf89edb6a1
https://doi.org/10.1007/978-3-030-01424-7_29
https://doi.org/10.1007/978-3-030-01424-7_29