A new numerical method for singularly perturbed turning point problems with two boundary layers based on reproducing kernel method
Sign Up to like & getrecommendations! Published in 2017 at "Calcolo"
DOI: 10.1007/s10092-016-0196-x
Abstract: In this paper, a simple numerical method is proposed for solving singularly perturbed boundary layers problems exhibiting twin boundary layers. The method avoids the choice of fitted meshes. Firstly the original problem is transformed into… read more here.
Keywords: numerical method; singularly perturbed; reproducing kernel; boundary layers ... See more keywords
An iterative approximation for time-fractional Cahn–Allen equation with reproducing kernel method
Sign Up to like & getrecommendations! Published in 2018 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-018-0672-9
Abstract: In this article, we construct a novel iterative approach that depends on reproducing kernel method for Cahn–Allen equation with Caputo derivative. Representation of solution and convergence analysis are presented theoretically. Numerical results are given as… read more here.
Keywords: cahn allen; kernel method; reproducing kernel; allen equation ... See more keywords
Dynamic PET image reconstruction incorporating a median nonlocal means kernel method
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104713
Abstract: Abstract In dynamic positron emission tomography (PET) imaging, the reconstructed image of a single frame often exhibits high noise due to limited counting statistics of projection data. This study proposed a median nonlocal means (MNLM)-based… read more here.
Keywords: median nonlocal; pet image; method; kernel method ... See more keywords
A hybrid kernel function approach for acoustic reconstruction of temperature distribution
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.108238
Abstract: Abstract This paper utilizes a hybrid kernel method based on a cubic + exponential kernel to reconstruct the temperature field in a measurement area. In the experiments, we simulate the internal circumstance of a furnace in the… read more here.
Keywords: temperature; method; area; kernel method ... See more keywords
The real-time simulation of exposure dose assessment in radioactive environment based on point-kernel method and human phantom
Sign Up to like & getrecommendations! Published in 2020 at "Radiation Physics and Chemistry"
DOI: 10.1016/j.radphyschem.2020.109146
Abstract: Abstract In this paper, a real-time, dynamic radiation dose exposure assessment method is presented based on point-kernel method and stylized computational human phantom, for workers in radioactive environment. The stylized computational phantom is built and… read more here.
Keywords: phantom; exposure; radioactive environment; kernel method ... See more keywords
Multimodal Image Reconstruction of Electrical Impedance Tomography Using Kernel Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3132830
Abstract: The inverse problem of electrical impedance tomography (EIT) is nonlinear and severely ill-posed, resulting in low image quality, which explicitly involves the aspects of structure preservation and conductivity contrast differentiation. This article reports a kernel… read more here.
Keywords: electrical impedance; impedance tomography; kernel method; image reconstruction ... See more keywords
Using Kernel Method to Include Firm Correlation for Stock Price Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4964394
Abstract: In this work, we propose AGKN (attention-based graph learning kernel network), a novel framework to incorporate information of correlated firms of a target stock for its price prediction in an end-to-end way. We first construct… read more here.
Keywords: stock price; prediction; kernel method; attention ... See more keywords
Reproducing Kernel Method with Global Derivative
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Function Spaces"
DOI: 10.1155/2023/2726735
Abstract: Ordinary differential equations describe several phenomena in different fields of engineering and physics. Our aim is to use the reproducing kernel Hilbert space method (RKHSM) to find a solution to some ordinary differential equations (ODEs)… read more here.
Keywords: method global; reproducing kernel; kernel method; global derivative ... See more keywords
Spatial Distribution Patterns of Eurasian Otter (Lutra Lutra) in Association with Environmental Factors Unravelled by Machine Learning and Diffusion Kernel Method
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Environmental Informatics"
DOI: 10.3808/jei.202000443
Abstract: In South Korea, the endangered Eurasian otter (Lutra lutra) populations have been recovered throughout the country. To examine the status of otter populations, we monitored spraint densities at 250 ~ 355 sites annually from 2014… read more here.
Keywords: association environmental; environmental factors; otter; kernel method ... See more keywords