Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Zhendong Luo"'
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1726 (2024)
The main objective of this paper is to reduce the dimensionality of unknown coefficient vectors of finite-element (FE) solutions in two-grid (CN) FE (TGCNFE) format for the nonlinear unsaturated soil water flow problem by using a proper orthogonal de
Externí odkaz:
https://doaj.org/article/8e57beeb048346caa00409a709bb9dc3
Autor:
Yuejie Li, Zhendong Luo
Publikováno v:
Mathematics, Vol 11, Iss 22, p 4699 (2023)
We here employ a proper orthogonal decomposition (POD) to reduce the dimensionality of unknown coefficient vectors of finite element (FE) solutions for the fractional Tricomi-type equation and develop a reduced-dimension extrapolating FE (RDEFE) meth
Externí odkaz:
https://doaj.org/article/586dfe656fc54d849c70fbf56c8f8c75
Autor:
Waiian Leong, Yueqi Zhang, Xinxiang Huang, Zhendong Luo, Yanli Wang, Timothy Hudson Rainer, Abraham K. C. Wai, Yi Huang
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Massive pulmonary embolism (MPE) is a high-risk medical emergency. Seizure as the clinical presentation of MPE is extremely rare, and to our knowledge, there have been no reports on successful percutaneous, catheter-based treatment of MPE presenting
Externí odkaz:
https://doaj.org/article/5ae951ab00ad4d42b2a4cd29af6f9d20
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3623 (2023)
Aiming at maritime infrared target detection with low contrast influenced by maritime clutter and illumination, this paper proposes a Modified Histogram Equalization with Edge Fusion (MHEEF) pre-processing algorithm in backlight maritime scenes and e
Externí odkaz:
https://doaj.org/article/279d2038566e4518ab733792393d9eb5
Publikováno v:
Mathematics, Vol 11, Iss 4, p 807 (2023)
The mixed finite element (MFE) method is one of the most valid numerical approaches to solve hydrodynamic equations because it can be very suited to solving problems with complex computing domains. Regrettably, the MFE method for the hydrodynamic equ
Externí odkaz:
https://doaj.org/article/e51517bffc6c4a88bacda55419ec0e1c
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
PurposeTo establish and verify a predictive model involving multiparameter MRI and clinical manifestations for predicting synchronous lung metastases (SLM) in osteosarcoma.Materials and MethodsSeventy-eight consecutive patients with osteosarcoma (tra
Externí odkaz:
https://doaj.org/article/70070911b5d047c18d4d7b48f74dd0e7
Publikováno v:
BMC Pulmonary Medicine, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background Although typical and atypical CT image findings of COVID-19 are reported in current studies, the CT image features of COVID-19 overlap with those of viral pneumonia and other respiratory diseases. Hence, it is difficult to make an
Externí odkaz:
https://doaj.org/article/4541fcb5156f434cbd764a29ff93fe77
Publikováno v:
Journal of Inequalities and Applications, Vol 2020, Iss 1, Pp 1-10 (2020)
Abstract We develop the Crank–Nicolson finite element (CNFE) method for the two-dimensional (2D) uniform transmission line equation, study the stability and existence as well as error estimates for the CNFE solutions of the 2D uniform transmission
Externí odkaz:
https://doaj.org/article/2f888e827a5a4fdd9b7719c1ea6c5dd0
Publikováno v:
Advances in Difference Equations, Vol 2020, Iss 1, Pp 1-16 (2020)
Abstract In this article, we mainly develop a reduced order extrapolating model for the solution coefficient vectors of the classical collocation spectral (CCS) scheme to the two-dimensional (2D) telegraph equation by means of a proper orthogonal dec
Externí odkaz:
https://doaj.org/article/4dd9573f0c2b426c853d7d443930c099
Publikováno v:
Journal of Inequalities and Applications, Vol 2020, Iss 1, Pp 1-18 (2020)
Abstract In this study, a time semi-discretized Crank–Nicolson (CN) scheme of the two-dimensional (2D) unsteady conduction–convection problems for vorticity and stream functions is first built together with showing the existence and stability alo
Externí odkaz:
https://doaj.org/article/1c704e008ef441ba8c9965ba4f61e2e5