Results 101 to 110 of about 3,817,143 (297)
Bias in nearest-neighbor hazard estimation [PDF]
In nonparametric curve estimation, the smoothing parameter is critical for performance. In order to estimate the hazard rate, we compare nearest neighbor selectors that minimize the quadratic, the Kullback-Leibler, and the uniform loss.
Weißbach, Rafael, Dette, Holger
core
Smoothing with Curvature Constraints based on Boosting Techniques [PDF]
, 2006 In many applications it is known that the underlying smooth function is constrained to have a specific form. In the present paper, we propose an estimation method based on the regression spline approach, which allows to include concavity or convexity ...
Gerhard Tutz +3 more
core +1 more source
Advanced Engineering Materials, EarlyView.A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
A hybrid SARIMAX–Exponential Smoothing framework for New Zealand food price forecasting
Discover ComputingFood prices worldwide have risen substantially following recent geopolitical and supply-chain disruptions. New Zealand, with its remote location and absence of land-based freight connections to other national economies, provides an informative case study
Hammad Iqbal +6 more
doaj +1 more source
MachinesWith the increasing penetration of renewable energy, smoothing wind-farm-level power fluctuations at the point of common coupling has become an important requirement for maintaining grid stability.
Su Wang, Liye Xiao
doaj +1 more source
Loss and Risk in Smoothing Parameter Selection [PDF]
, 1992 1 online resource (PDF, 43 pages)Grund, Birgit; Hall, Peter; Marron, J. S.. (1992). Loss and Risk in Smoothing Parameter Selection.
Grund, Birgit +2 more
core
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
Advanced Engineering Materials, EarlyView.This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
A Novel Hierarchical Clustering Algorithm Based on Density Peaks for Complex Datasets
Complexity, 2018 Clustering aims to differentiate objects from different groups (clusters) by similarities or distances between pairs of objects. Numerous clustering algorithms have been proposed to investigate what factors constitute a cluster and how to efficiently ...
Rong Zhou +3 more
doaj +1 more source
Smoothing: Local Regression Techniques [PDF]
Smoothing methods attempt to find functional relationships between different measurements. As in the standard regression setting, the data is assumed to consist of measurements of a response variable, and one or more predictor variables.
Loader, Catherine
core
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