Results 161 to 170 of about 57,267 (303)
REDUNDANCY IN GAUSSIAN RANDOM FIELDS
We introduce and study a notion of spatial redundancy in Gaussian random fields. we define similarity functions with some properties and give insight about their statistical properties in the context of image processing.
GALERNE, Bruno +3 more
core
Simple Synthesis of Entropy Stabilized Oxides Single Crystal Films
Diffusion‐controlled enables the creation of a single‐crystal thin film of Entropy‐stabilized oxides (ESO). ABSTRACT Entropy‐stabilized oxides (ESO) have emerged in the last decade as a new class of metastable materials with promising functional properties.
Antoine Raison +6 more
wiley +1 more source
Distribution of the Height of Local Maxima of Gaussian Random Fields. [PDF]
Cheng D, Schwartzman A.
europepmc +1 more source
Layered Nanoporous Platforms for SERS Sensing
Here, we present a detailed investigation of the SERS performance of layered nanoporous metals. The controlled deposition of well‐defined, stacked porous layers enabled a systematic analysis of the effects of multimetallic systems in SERS experiments. Numerical models are also used to support the experimental findings.
Yanqiu Zou +18 more
wiley +1 more source
Anisotropy of Random Fields in Stochastic Fem
The anisotropy of a random variable consisting of rectangular local averages of a Gaussian, isotropic and homogeneous random field is presented. The analysis deals with fields having exponential correlation functions.
W. Knabe, G. Różyński
doaj
A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials
Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav +2 more
wiley +1 more source
Bayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP Package
The spectral representation of stationary Gaussian processes via the Fourier basis provides a computationally efficient specification of spatial surfaces and nonparametric regression functions for use in various statistical models.
Christopher J. Paciorek
core
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Bayesian Prediction of Transformed Gaussian Random Fields
The purpose of this work is to extend the methodology presented in Handock and Stein (1993) for prediction in Gaussian random fields to the case of transformed Gaussian random fields when the transformation is only known to belong to a parametric family.
Kedem, Benjamin +2 more
core
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source

