Results 61 to 70 of about 871 (187)
Reproducing kernel method for the solutions of non-linear partial differential equations
Arab Journal of Basic and Applied Sciences, 2021 In modeling of a lots of complex physical problems and engineering process, the non-linear partial differential equations have a very important role. Development of dependable and effective methods to solve such types equations are constructed.
Elif Nuray Yildirim +2 more
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Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters
Energy Science &Engineering, Volume 14, Issue 3, Page 1353-1371, March 2026.Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu +4 more
wiley +1 more source
Symmetric Operators and Reproducing Kernel Hilbert Spaces [PDF]
Complex Analysis and Operator Theory, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Eigenvalue Problem for Discrete Jacobi–Sobolev Orthogonal Polynomials
Mathematics, 2020 In this paper, we consider a discrete Sobolev inner product involving the Jacobi weight with a twofold objective. On the one hand, since the orthonormal polynomials with respect to this inner product are eigenfunctions of a certain differential operator,
Juan F. Mañas-Mañas +2 more
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BCARS Simulated Phantom Dataset for Evaluation of Processing Pipelines
Journal of Raman Spectroscopy, Volume 57, Issue 3, Page 530-543, March 2026.A tissue phantom, containing fingerprint Raman spectra at each pixel, is developed to evaluate Raman signal processing pipelines. The phantom is created from a BCARS image of a murine hepatic tissue. ABSTRACT Broadband coherent anti‐Stokes Raman scattering (BCARS) microscopy is a powerful label‐free biological imaging technique, but the raw signal ...
Jessica Z. Dixon +5 more
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Flexible Bayesian Inference for Identifying Significantly Correlated Multiple Pathway Sets
Statistics in Medicine, Volume 45, Issue 6-7, March 2026.ABSTRACT In this paper, we propose a flexible Bayesian inference to identify significantly correlated high‐dimensional functions with the response variable, which is challenging because the relationship between the response variable and high‐dimensional functions is unknown and complex due to the dependence among high‐dimensional functions. For example,
PhilGeun Jin, Youngho Yun, Inyoung Kim
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MathematicsThe Kudryashov–Sinelshchikov equation (KSE) is crucial in modeling pressure waves in liquids containing gas bubbles, capturing both nonlinear wave phenomena and dispersion effects.
Gayatri Das +4 more
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Journal of Taibah University for Science, 2019 Reproducing kernel Hilbert space method is given for the solution of generalized Kuramoto–Sivashinsky equation. Reproducing kernel functions are obtained to get the solution of the generalized Kuramoto–Sivashinsky equation.
Ali Akgül, Ebenezer Bonyah
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The Plant Genome, Volume 19, Issue 1, March 2026.Abstract Poplar (Populus spp.) breeding programs increasingly prioritize the development of male varieties due to the environmental issues caused by female catkins. Therefore, there is an urgent need for a reliable technique for early sex identification in Populus.
Xinglu Zhou +3 more
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Multikernel Adaptive Filters Under the Minimum Cauchy Kernel Loss Criterion
IEEE Access, 2019 The Cauchy loss has been successfully applied in robust learning algorithms in the presence of large outliers, but it may suffer from performance degradation in complex nonlinear tasks.
Wei Shi, Kui Xiong, Shiyuan Wang
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