Results 71 to 80 of about 165,608 (287)

Nonparametric regression analysis [PDF]

open access: yes, 2015
textNonparametric regression uses nonparametric and flexible methods in analyzing complex data with unknown regression relationships by imposing minimum assumptions on the regression function.
Malloy, Shuling Guo
core   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

open access: yesAdvanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu   +3 more
wiley   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

open access: yesAdvanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak   +19 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Kernel Estimation: the Equivalent Spline Smoothing Method [PDF]

open access: yesSSRN Electronic Journal, 1994
Summary: Among nonparametric smoothers, there is a well-known correspondence between kernel and Fourier series methods, pivoted by the Fourier transform of the kernel. This suggests a similar relationship between kernel and spline estimators. A known special case is the result of \textit{B. W. Silverman} [Ann. Stat.
Härdle, Wolfgang Karl   +1 more
openaire   +3 more sources

Triply‐Twinned Metamaterials: Unraveling the Mechanics and Failure Pathways Through High‐Resolution XCT

open access: yesAdvanced Materials, EarlyView.
Triply‐twinned architected lattices transform deformation from bending to stretching of struts, delivering up to threefold increases in stiffness and strength across polymeric and metallic systems. High‐resolution synchrotron XCT and image‐based simulations reveal how meta‐grain architecture, defects, and AM build orientation govern failure pathways ...
David McArthur   +7 more
wiley   +1 more source

A PRECIPITAÇÃO E O CRITÉRIO DE ESCOLHA DE ANOS-PADRÃO

open access: yesRevista de Geociências do Nordeste, 2020
A proposta deste estudo é desenvolver com base no elemento precipitação, as etapas para a eleição de anos-padrão ao estado do Ceará, considerando a aplicação do método de Tavares (1976).
Lucas Pereira Soares
doaj   +1 more source

A comparison of spatial analysis methods for the construction of topographic maps of retinal cell density. [PDF]

open access: yesPLoS ONE, 2014
Topographic maps that illustrate variations in the density of different neuronal sub-types across the retina are valuable tools for understanding the adaptive significance of retinal specialisations in different species of vertebrates. To date, such maps
Eduardo Garza-Gisholt   +3 more
doaj   +1 more source

Automatic spectral density estimation for random fields on a lattice via bootstrap. [PDF]

open access: yes
We consider the nonparametric estimation of spectral densities for secondorder stationary random fields on a d-dimensional lattice. We discuss some drawbacks of standard methods and propose modified estimator classes with improved bias convergence rate ...
Vidal-Sanz, Jose M.
core   +3 more sources

The smooth colonel meets the reverend [PDF]

open access: yes, 2008
Kernel smoothing techniques have attracted much attention and some notoriety in recent years. The attention is well deserved as kernel methods free researchers from having to impose rigid parametric structure on their data.
Kiefer, Nicholas M., Racine, Jeffrey S.
core  

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