Results 101 to 110 of about 204,377 (277)
Advanced Engineering Materials, EarlyView.This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar +6 more
wiley +1 more source
npbr: A Package for Nonparametric Boundary Regression in R
Journal of Statistical Software, 2017 The package npbr is the first free specialized software for data edge and frontier analysis in the statistical literature. It provides a variety of functions for the best known and most innovative approaches to nonparametric boundary estimation.
Abdelaati Daouia +2 more
doaj +1 more source
From finite sample to asymptotics: A geometric bridge for selection criteria in spline regression
, 2005 This paper studies, under the setting of spline regression, the connection between finite-sample properties of selection criteria and their asymptotic counterparts, focusing on bridging the gap between the two.
Kou, S. C.
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Effects of Carbon Nanoparticles on Triboelectro‐Induced Surface Defects
Advanced Engineering Materials, EarlyView.Carbon nanoparticles added to grease modify the electrocontact behavior. The synergy of particle concentration and electric current dominates the surface damage of metals in contact. Electrical surface damage caused by current leakage is a critical challenge in high‐performance applications such as electric vehicle (EV) drivetrains and wind turbine ...
Mohsen Tajedini +6 more
wiley +1 more source
Scientific ReportsFlight data anomaly detection (AD) is essential for unmanned aerial vehicle (UAV) health management. Despite the current dominance of data-driven approaches, their effectiveness often requires sufficient data for model training.
Lei Yang +4 more
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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
Multi-Parameter-Setting Based on Data Original Distribution for DENCLUE Optimization
IEEE Access, 2018 DENCLUE is a typical density-based clustering method, and it also is an important pattern classification analysis technique. In this clustering method, the propriety of parameters’ values greatly influences the quality of distinguishing ...
Yi Luo, Ke Zhang, Yi Chai, Yingzhi Xiong
doaj +1 more source
Bootstrap-based Bandwidth Selection for Semiparametric Generalized Regression Estimators [PDF]
This paper considers the problem of implementing semiparametric extremum estimators of a generalized regression model with an unknown link function. The class of estimator under consideration includes as special cases the semiparametric least-squares ...
Chuan Goh
core
Density estimation for grouped data with application to line transect sampling
, 2010 Line transect sampling is a method used to estimate wildlife populations, with the resulting data often grouped in intervals. Estimating the density from grouped data can be challenging.
Jang, Woncheol, Loh, Ji Meng
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source