Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mikhail Trofimov"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 4, p 797 (2023)
In this study formal derivation of mode coupling equations in underwater acoustics is revisited. This derivation is based on the method of multiple scales from which modal expansion of the field emerges, and the vectorized WKBJ equation for the coeff
Externí odkaz:
https://doaj.org/article/a55902a1d3a6445793263f32cc59b5ca
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 9, p 934 (2021)
Numerous sound propagation models in underwater acoustics are based on the representation of a sound field in the form of a decomposition over normal modes. In the framework of such models, the calculation of the field in a range-dependent waveguide
Externí odkaz:
https://doaj.org/article/06818195084b47efaf4d1648f91e7d80
Autor:
Massih-Reza Amini, Mikhail Trofimov, Charlotte Laclau, Yury Maximov, Oleh Horodnytskyi, Sumit Sidana
Publikováno v:
Data Mining and Knowledge Discovery. 35:568-592
In this paper, we propose a novel ranking framework for collaborative filtering with the overall aim of learning user preferences over items by minimizing a pairwise ranking loss. We show the minimization problem involves dependent random variables a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc9127d684badfaafc4089a018207fd6
https://doi.org/10.1007/s10618-020-00730-8
https://doi.org/10.1007/s10618-020-00730-8
Autor:
Maxim Kharchenko, Mikhail Trofimov, Aleksandr M. Semenov, Philipp Upravitelev, Sergey I. Nikolenko, Alexey Natekin
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319261225
AIST
AIST
In online social networks, high level features of user behavior such as character traits can be predicted with data from user profiles and their connections. Recent publications use data from online social networks to detect people with depression pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e236f913a74cf3cc4d665ea725fc9773
https://doi.org/10.1007/978-3-319-26123-2_3
https://doi.org/10.1007/978-3-319-26123-2_3
Publikováno v:
CODASPY
Modern malware is designed with mutation characteristics, namely polymorphism and metamorphism, which causes an enormous growth in the number of variants of malware samples. Categorization of malware samples on the basis of their behaviors is essenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5162a3bba8ed7bd1af7cfc39eab33a77
Publikováno v:
Doklady Earth Sciences. 423:1333-1334
The sedimentation rate is an important factor influencing the quantitative distribution and composition of sedimentary material, the thickness of bottom sediments, and the dynamics of their transformation at the early diagenesis stage [1]. In [2‐4]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77d0ec25f52d49cadc19554143b553c9
https://doi.org/10.1134/s1028334x08080345
https://doi.org/10.1134/s1028334x08080345