Results 231 to 240 of about 1,225,050 (328)

Nonlinear Response‐History Analyses of Masonry and Mixed Structures With HybriDFEM

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 8, Page 1694-1709, 10 July 2026.
ABSTRACT The hybrid discrete‐finite element (HybriDFEM) method, previously developed to perform static and modal analysis in discrete and coupled discrete‐finite element models, is extended to nonlinear response‐history analyses. The equations of motion for the HybriDFEM model are solved through various numerical time‐integration schemes, both explicit
Igor Bouckaert, Michele Godio, João Pacheco de Almeida   +2 more
wiley   +1 more source

Improved YOLOv7 enhances identification of <i>Hylurgus ligniperda</i> in traps. [PDF]

Front Plant Sci
Li Z, Zhang X, Tao J.
europepmc   +1 more source

Nonparametric estimation of distributions with given marginals via Bernstein-Kantorovich polynomials: L1 and pointwise convergence theory

The copula density is estimated using Bernstein-Kantorovich polynomials. The estimator is the usual one based on the smoothed histogram. Strong consistency is obtained in L1 and pointwise almost everywhere, allowing for dependent data. For L1 convergence,
Sancetta, Alessio
core  

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, Volume 45, Issue 4, Page 1797-1828, July 2026.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Evaluating the performance of classical, quantum, and hybrid quantum neural networks in solving differential equations. [PDF]

Sci Rep
Markazi N, Mirza B.
europepmc   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, Volume 45, Issue 4, Page 2059-2077, July 2026.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

DFSE-YOLO: deep feature selective enhancement for efficient shipwreck detection in side-scan sonar imagery. [PDF]

Sci Rep
Lin Y, Song L, Feng Q, He S, Huang N, Zhu Y.   +5 more
europepmc   +1 more source

Automating creativity assessment in engineering design: A psychometric validation of AI‐generated items of the design problem task

Journal of Engineering Education, Volume 115, Issue 3, July 2026.
Abstract Background Creativity is essential for engineering design, yet its assessment remains challenging due to the resource‐intensive nature of traditional evaluation methods. Purpose/Hypothesis(es) This study investigates the potential of automatic item generation (AIG) using large language models (LLMs) to create psychometrically sound items for ...
Simone A. Luchini, Roger E. Beaty, Ayesha S. Boyce, Sarah E. Zappe, Boris Forthmann   +4 more
wiley   +1 more source

Uniform in Bandwidth Consistency of the <i>L</i>¹-Modal Regression Estimator for High-Dimensional Data. [PDF]

Entropy (Basel)
Almulhim FA, Alamari MB, Laksaci A.
europepmc   +1 more source

On the Choice of Optimization Norm for Anderson Acceleration of the Picard Iteration for Navier–Stokes Equations

Numerical Methods for Partial Differential Equations, Volume 42, Issue 4, July 2026.
ABSTRACT While recent Anderson acceleration (AA) convergence theory [Pollock et al., IMA Num. An., 2021] requires that the AA optimization norm match the Hilbert space norm associated with the fixed point operator, in implementations the ℓ2$$ {\ell}^2 $$ norm is the most common choice. So far there is little research done regarding this discrepancy. To
Elizabeth Hawkins, Leo G. Rebholz
wiley   +1 more source