Zobrazeno 1 - 10
of 95
pro vyhledávání: '"XIANGCHENG ZHENG"'
Publikováno v:
IEEE Access, Vol 11, Pp 106412-106422 (2023)
Extracting roads from high spatial resolution imagery (HSRI) has been a hot research topic in recent years. Particularly, the fully convolutional network (FCN)-based methods have shown promising performance in accurately extracting roads from HSRI. H
Externí odkaz:
https://doaj.org/article/91a4ee527a0b4e4e88d3d65fc5bdaf3f
Publikováno v:
Fractal and Fractional, Vol 7, Iss 12, p 850 (2023)
We establish both the uniqueness and the existence of the solutions to a hidden-memory variable-order fractional stochastic partial differential equation, which models, e.g., the stochastic motion of a Brownian particle within a viscous liquid medium
Externí odkaz:
https://doaj.org/article/b0e46d8724fb4154a697225b8c10446f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8856-8869 (2022)
Due to its high efficiency and low cost, automatic extraction of building footprints from remotely sensed imagery has long been an important means to obtain building footprint information, which can be easily implemented using existing fully convolut
Externí odkaz:
https://doaj.org/article/e66536b9cd6b47959f4a6ef582d56f31
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 5960 (2022)
Building extraction from high spatial resolution imagery (HSRI) plays an important role in the remotely sensed imagery application fields. However, automatically extracting buildings from HSRI is still a challenging task due to such factors as large
Externí odkaz:
https://doaj.org/article/2d876e7bed8e4072807b8746b896e940
Publikováno v:
Fractal and Fractional, Vol 6, Iss 2, p 114 (2022)
A time-fractional substantial diffusion equation of variable order is investigated, in which the variable-order fractional substantial derivative accommodates the memory effects and the structure change of the surroundings of the physical processes w
Externí odkaz:
https://doaj.org/article/ea1708a82aa9499fb7143110a1107a30
Publikováno v:
Multiscale Modeling & Simulation; 2024, Vol. 22 Issue 4, p1534-1557, 24p
Publikováno v:
Acta Mathematica Scientia. 43:640-654
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01e623f8f78f778a3797727ffa3aeb9d
https://doi.org/10.1007/s10473-023-0210-8
https://doi.org/10.1007/s10473-023-0210-8
Publikováno v:
SIAM Journal on Numerical Analysis. 60:2925-2944
High-index saddle dynamics provides an effective means to compute the any-index saddle points and construct the solution landscape. In this paper we prove error estimates for Euler discretization of high-index saddle dynamics with respect to the time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1493ca551f010c84194b46d51fc2cff
https://doi.org/10.1137/21m1458314
https://doi.org/10.1137/21m1458314
Publikováno v:
SIAM Journal on Numerical Analysis. 60:2731-2750
Saddle dynamics is a time continuous dynamics to efficiently compute the any-index saddle points and construct the solution landscape. In practice, the saddle dynamics needs to be discretized for numerical computations, while the corresponding numeri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9baf05b15c56502bf2010d1f04eebe
https://doi.org/10.1137/22m1487965
https://doi.org/10.1137/22m1487965
Publikováno v:
Science China Mathematics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5628a614ce12adb5a32e8d652f0596a
https://doi.org/10.1007/s11425-022-2149-2
https://doi.org/10.1007/s11425-022-2149-2