Results 51 to 60 of about 665,590 (295)
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Performing the Kernel Method of Test Equating with the Package kequate
Journal of Statistical Software, 2013 In standardized testing it is important to equate tests in order to ensure that the test takers, regardless of the test version given, obtain a fair test.
Björn Andersson +2 more
doaj +1 more source
Graph Dilated Network with Rejection Mechanism
Applied Sciences, 2020 Recently, graph neural networks (GNNs) have achieved great success in dealing with graph-based data. The basic idea of GNNs is iteratively aggregating the information from neighbors, which is a special form of Laplacian smoothing.
Bencheng Yan, Chaokun Wang, Gaoyang Guo
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COMPUTER-ASSISTED CHOICE OF SMOOTHING PARAMETER IN KERNEL METHODS APPLIED IN ECONOMIC ANALYSES
Quantitative Methods in Economics, 2014 In the kernel method, it is necessary to determine the value of the smoothing parameter. Not without significance is the fact of using the objectivity in the selection of this parameter and a certain automation of the selection procedure, which is ...
Aleksandra Baszczyńska
doaj
Heat Kernel Smoothing on Unit Sphere [PDF]
3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., 2006 In brain imaging, cortical data such as the cortical thickness, cortical surface curvatures and surface coordinates have been mapped to a unit sphere for the purpose of visualization, surface registration and statistical analysis. Since the unit sphere provides a readily available parametrization and basis functions, cortical data can be easily ...
openaire +2 more sources
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Nonparametric Range-Based Double Smoothing Spot Volatility Estimation for Diffusion Models
Complexity, 2020 We consider nonparametric spot volatility estimation for diffusion models with discrete high frequency observations. Our estimator is carried out in two steps.
Jingwei Cai
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Mixed Spline Smoothing and Kernel Estimator in Biresponse Nonparametric Regression
International Journal of Mathematics and Mathematical Sciences, 2021 Mixed estimators in nonparametric regression have been developed in models with one response. The biresponse cases with different patterns among predictor variables that tend to be mixed estimators are often encountered.
Dyah P. Rahmawati +3 more
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Estimating Yield Curves by Kernel Smoothing Methods [PDF]
, 1998 We introduce a new method for the estimation of discount functions, yield curves and forward curves from government issued coupon bonds. Our approachis nonparametric and does not assume a particular functional form for thediscount function although we do show how to impose various restrictions inthe estimation.
Tanggaard, Carsten +3 more
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Advanced Engineering Materials, EarlyView.Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn +5 more
wiley +1 more source