Results 81 to 90 of about 2,690,813 (243)
Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan +3 more
wiley +1 more source
AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system
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
Abstract This article analyses to what degree Benjamin Robins's discoveries in his book New Principles of Gunnery, 1742, affected the British mathematical, military, and educational world of the mid‐eighteenth century. While it drew praise and critique from Europe, especially from the notable mathematician Leonhard Euler, his mathematical theories were
Samuel Dodson
wiley +1 more source
Coupled thermo-mechanical analysis of thermally induced vibration in FGM annular sector plate
In this study, dynamic behavior of a thin annular sector plate made of functionally graded materials (FGMs) subjected to sudden thermal shock is investigated in both coupled and uncoupled states.
J. Sadeghi +3 more
doaj +1 more source
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
Mixture multigroup structural equation modelling for ordinal data
Abstract Social scientists often compare groups in terms of relations between latent variables (LV) (i.e. structural relations) using Structural Equation Modelling (SEM). LVs are measured indirectly by questionnaires; thus, measurement invariance must be evaluated before comparisons can be made. To efficiently compare many groups, the recently proposed
Andres F. Perez Alonso +3 more
wiley +1 more source
Numerical approximations of multi-term nonlinear Volterra–Hammerstein fractional integro-differential systems (NVHFIDS) present considerable challenges in scientific computing and numerical analysis because of their sophisticated mathematical structure ...
Mariwan Rashid Ahmed +3 more
doaj +1 more source
Abstract Traditional item response theory (IRT) models involve symmetric response probability functions, but a developing area of research has focused on asymmetric alternatives. To date, these studies have focused primarily on introducing new asymmetric models, detailing their mathematical formulations, explaining how to interpret their item ...
Hyejin Shim, Wes Bonifay
wiley +1 more source
Inherent resonance of carbon and graphene-based nanocomposite coupled single-span arch beams
In recent decades, there has been a significant rise in the utilization of composite materials for various engineering applications. These advanced materials offer the potential to improve the mechanical properties and vibration characteristics of ...
Moein Alreza Ghandehari, Amir R. Masoodi
doaj +1 more source
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

