Results 61 to 70 of about 1,714 (187)
Symmetric Operators and Reproducing Kernel Hilbert Spaces [PDF]
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openaire +3 more sources
Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters
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
The present paper emphasizes Jeffery-Hamel flow: fluid flow between two rigid plane walls, where the angle between them is 2α. A new method called the reproducing kernel Hilbert space method (RKHSM) is briefly introduced.
Mustafa Inc +2 more
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Skew-symmetric and essentially unitary operators via Berezin symbols
We characterize skew-symmetric operators on a reproducing kernel Hilbert space in terms of their Berezin symbols. The solution of some operator equations with skew-symmetric operators is studied in terms of Berezin symbols.
Altwaijry Najla +3 more
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BCARS Simulated Phantom Dataset for Evaluation of Processing Pipelines
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
wiley +1 more source
On the weak limit of compact operators on the reproducing kernel Hilbert space and related questions
By applying the so-called Berezin symbols method we prove a Gohberg- Krein type theorem on the weak limit of compact operators on the non- standard reproducing kernel Hilbert space which essentially improves the similar results of Karaev [5]: We also in ...
Saltan Suna
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Flexible Bayesian Inference for Identifying Significantly Correlated Multiple Pathway Sets
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
wiley +1 more source
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
wiley +1 more source
Regularization in Reproducing Kernel Hilbert Spaces
AbstractMethods for obtaining a functiongin a relationship$$y=g(x)$$y=g(x)from observed samples ofyandxare the building blocks for black-box estimation. The classical parametric approach discussed in the previous chapters uses a function model that depends on a finite-dimensional vector, like, e.g., a polynomial model.
Gianluigi Pillonetto +4 more
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Abstract Genomic selection (GS) is a promising strategy for accelerating genetic gains of complex traits in breeding programs. Despite the recent advancements in high‐throughput genotyping technologies, the selection of the type of marker systems needed for GS remains challenging in breeding programs.
Samuel A. Adewale +14 more
wiley +1 more source

