Results 51 to 60 of about 90,750 (294)
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
Advanced Engineering Materials, EarlyView.A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
Journal of Imaging, 2017 Segmentation is one of the most important parts of medical image analysis. Manual segmentation is very cumbersome, time-consuming, and prone to inter-observer variability. Fully automatic segmentation approaches require a large amount of labeled training
Tanja Kurzendorfer +6 more
doaj +1 more source
Compactly supported radial basis functions: how and why? [PDF]
, 2012 The use of radial basis functions have attracted increasing attention in recent years as an elegant scheme for high-dimensional scattered data approximation, an accepted method for machine learning, one of the foundations of mesh-free methods, an ...
Zhu, S.
core +3 more sources
Partition of Unity Interpolation on Multivariate Convex Domains
, 2014 In this paper we present a new algorithm for multivariate interpolation of scattered data sets lying in convex domains $\Omega \subseteq \RR^N$, for any $N \geq 2$.
Cavoretto, Roberto +2 more
core +1 more source
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Guan'gai paishui xuebao, 2022 【Objective】 Canopy temperature varies with leaf water content and can be used as a proxy of crop water deficit. In this paper, we compare different interpolation methods for calculating spatial distribution of crop water deficit based on canopy ...
ZHANG Minne +3 more
doaj +1 more source
Error bound for radial basis interpolation in terms of a growth function [PDF]
, 2007 We suggest an improvement of Wu-Schaback local error bound for radial basis interpolation by using a polynomial growth function. The new bound is valid without any assumptions about the density of the interpolation centers.
Davydov, Oleg
core
Curvilinear Mesh Adaptation Using Radial Basis Function Interpolation and Smoothing [PDF]
Journal of Scientific Computing, 2018 18 pages, 8 figures.
Vidhi Zala +3 more
openaire +3 more sources
Advanced Engineering Materials, EarlyView.A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Optimal Centers’ Allocation in Smoothing or Interpolating with Radial Basis Functions
Mathematics, 2021 Function interpolation and approximation are classical problems of vital importance in many science/engineering areas and communities. In this paper, we propose a powerful methodology for the optimal placement of centers, when approximating or ...
Pedro González-Rodelas +3 more
doaj +1 more source