Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Vladimir Puzyrev"'
Publikováno v:
Geoscience Letters, Vol 9, Iss 1, Pp 1-9 (2022)
Abstract With the rapid development of deep learning technologies, data-driven methods have become one of the main research focuses in geophysical inversion. Applications of various neural network architectures to the inversion of seismic, electromag
Externí odkaz:
https://doaj.org/article/54c3d0a47aac462787f821c78d9d0bcf
Publikováno v:
Applied Mathematical Modelling. 105:711-728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::670117a2a03cfbf567290e8adca4e0f0
https://doi.org/10.1016/j.apm.2022.01.008
https://doi.org/10.1016/j.apm.2022.01.008
Publikováno v:
Applied Mathematical Modelling. 93:728-744
The ability to measure pressure and temperature using a MEMS sensor constitutes a major interest for several engineering applications. In this paper, we present a method and system for simultaneous measurements of pressure and temperature using elect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c3590db28665db54b557aef8395278b
https://doi.org/10.1016/j.apm.2021.01.006
https://doi.org/10.1016/j.apm.2021.01.006
Publikováno v:
Applied Mathematical Modelling. 88:224-237
In-situ measurements of the viscosity and density of small volumes of liquids are required in several industrial applications. MEMS sensors deploying vibrating microstructures constitute an attractive alternative given the significant impact of the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de314272a8b32b18fd44d0a4dddf2ce5
https://doi.org/10.1016/j.apm.2020.06.051
https://doi.org/10.1016/j.apm.2020.06.051
Publikováno v:
Ore Geology Reviews. 152:105242
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55f740e92657574be9d0a1b9c1cae04d
https://doi.org/10.1016/j.oregeorev.2022.105242
https://doi.org/10.1016/j.oregeorev.2022.105242
Publikováno v:
ASEG Extended Abstracts. 2019:1-4
We investigate the applicability of different types of deep neural networks for the estimation of subsurface properties from seismic data. The pre-trained networks can predict velocity models from ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d3c44e4feb0416711faac668bffd975
https://doi.org/10.1080/22020586.2019.12073187
https://doi.org/10.1080/22020586.2019.12073187
Autor:
Marcin Łoś, Maciej Paszyński, Witold Dzwinel, Vladimir Puzyrev, Victor M. Calo, Grzegorz Gurgul
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering. 22:1269-1281
Modeling tumor growth in biological systems is a challenging problem with important consequences for diagnosis and treatment of various forms of cancer. This growth process requires large simulation complexity due to evolving biological and chemical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3505528915813463af553b167f1ce007
https://doi.org/10.1080/10255842.2019.1661388
https://doi.org/10.1080/10255842.2019.1661388
Publikováno v:
Journal of Computational and Applied Mathematics. 355:283-300
We develop and analyze quadrature blending schemes that minimize the dispersion error of isogeometric analysis up to polynomial order seven with maximum continuity in the span. The schemes yield two extra orders of convergence (superconvergence) on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c758c5c6f2dbe8a803595b7f6a41ec05
https://doi.org/10.1016/j.cam.2019.01.025
https://doi.org/10.1016/j.cam.2019.01.025
Publikováno v:
Journal of Computational Science. 30:157-173
Model reduction techniques reduce the overall complexity of dynamic systems and allow to speed up simulations of their behavior several orders of magnitude while retaining good accuracy. Despite being useful to obtain real-time simulations and apply
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f73621e9d08de53a44fe9c6c77668d92
https://doi.org/10.1016/j.jocs.2018.12.004
https://doi.org/10.1016/j.jocs.2018.12.004
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 343:297-313
We approximate the spectra of a class of 2 n -order differential operators using isogeometric analysis in mixed formulations. This class includes a wide range of differential operators such as those arising in elliptic, biharmonic, Cahn–Hilliard, S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6674d12264c13e8553493ba5d35e9dc
https://doi.org/10.1016/j.cma.2018.08.042
https://doi.org/10.1016/j.cma.2018.08.042