Results 51 to 60 of about 41,711 (262)

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han, Julian M. Rosalie, Jan Radners, Mauro Madia, Philipp von Hartrott, Birgit Skrotzki   +5 more
wiley   +1 more source

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  

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
doaj   +1 more source

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, I. N. Budiantara, Dedy D. Prastyo, Made A. D. Octavanny   +3 more
doaj   +1 more source

COMPARING GAUSSIAN AND EPANECHNIKOV KERNEL OF NONPARAMETRIC REGRESSION IN FORECASTING ISSI (INDONESIA SHARIA STOCK INDEX)

Barekeng, 2022
ISSI reflects the movement of sharia stock prices as a whole. It is necessary to forecast the share price to help investors determine whether the shares should be sold, bought, or retained. This study aims to predict the value of ISSI using nonparametric
Yuniar Farida, Ida Purwanti, Nurissaidah Ulinnuha   +2 more
doaj   +1 more source

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, Linton, O., Nielsen, J., Mammen, E.   +3 more
openaire   +7 more sources

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

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, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

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, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Brain kernel: A new spatial covariance function for fMRI data

NeuroImage, 2021
A key problem in functional magnetic resonance imaging (fMRI) is to estimate spatial activity patterns from noisy high-dimensional signals. Spatial smoothing provides one approach to regularizing such estimates. However, standard smoothing methods ignore
Anqi Wu, Samuel A. Nastase, Christopher A. Baldassano, Nicholas B. Turk-Browne, Kenneth A. Norman, Barbara E. Engelhardt, Jonathan W. Pillow   +6 more
doaj   +1 more source

Transparent Deformable Thin Film Electric Heater for Stable and Accurate Control of High Temperatures

Advanced Functional Materials, EarlyView.
Au/GaOx‐based transparent heaters combine high optical transmittance and low sheet resistance with exceptional thermal stability up to 521°C for over 6 h. The interfacial GaOx layer suppresses dewetting of Au and enhances adhesion, ensuring mechanical robustness during deformation and reliability for real‐world applications including grilling ...
Younghyun Lee, Huisim Moon, Yeongseo Jin, Woosung Cho, Geonwoo Kim, Gihyeok Eom, Michael D. Dickey, Minsik Kong, Unyong Jeong   +8 more
wiley   +1 more source