Results 61 to 70 of about 601,821 (236)

AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang   +6 more
wiley   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley   +1 more source

Quadrature Formulae and Polynomial Inequalities

open access: yesJournal of Approximation Theory, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guessab, A, Rahman, Q.I
openaire   +1 more source

Error bounds of Micchelli-Rivlin quadrature formula for analytic functions [PDF]

open access: yes, 2013
We consider the well known Micchelli-Rivlin quadrature formula, of highest algebraic degree of precision, for the Fourier-Chebyshev coefficients. For analytic functions the remainder term of this quadrature formula can be represented as a contour ...
Spalević, Miodrag, Pejčev, Aleksandar
core   +1 more source

A regularised latent‐class item response model for detecting measurement non‐invariance in ordinal response scales

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Measurement non‐invariance arises when the psychometric properties of a scale differ across subgroups, undermining the validity of group comparisons. At the item level, this manifests as differential item functioning (DIF), where item responses differ across groups after controlling for the latent trait.
Gabriel Wallin, Qi Huang
wiley   +1 more source

Model fit and parameter uncertainty in amortized variational inference based item response theory

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Amortized variational inference (AVI) has become a popular, computationally efficient alternative to marginal maximum likelihood estimation (MML) for estimating high‐dimensional item response theory models on large datasets. However, currently the AVI framework lacks methods to assess model fit and determine parameter uncertainty.
K. Veldkamp   +3 more
wiley   +1 more source

Quadrature formula for computed tomography

open access: yesJournal of Approximation Theory, 2010
The authors present a Gaussian quadrature formula for integrals of the form \[ \int_B f(x,y) U_n(x\cos\theta+y\sin\theta)\,dx\,dy \] over the unit disk \(B\) for the Chebyshev polynomials \(U_n\) of second kind. The formula involves \(n\) Radon projections on \(B\), has the maximal degree \(3n+1\) of precision, and is unique by this property. It may be
Bojanov, Borislav, Petrova, Guergana
openaire   +2 more sources

Optimization of approximate integrals of rapidly oscillating functions in the Hilbert space

open access: yesResults in Applied Mathematics
In this work, we construct an optimal quadrature formula in the sense of Sard based on a functional approach for numerical calculation of integrals of rapidly oscillating functions. To solve this problem, we will use Sobolev’s method.To do this, we first
Abdullo Hayotov   +2 more
doaj   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

open access: yesComputer Graphics Forum, EarlyView.
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier   +5 more
wiley   +1 more source

Phong‐Rodrigues Extrinsic Vector‐Field Processing

open access: yesComputer Graphics Forum, EarlyView.
Abstract We introduce a new extrinsic discretization of tangent vector fields on triangle meshes that is continuous, with bounded derivatives that are continuous almost everywhere, supporting pointwise evaluation and integration of differential operators.
Hongyi Liu   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy