Results 271 to 280 of about 1,122,279 (323)
Generalised Kinematic Single‐Impact and Multi‐Impact Models for Rocking Structures
ABSTRACT The rocking motion is fundamental in earthquake engineering, as it reflects the dynamic behaviour of many structural systems. However, simulating the impacts during rocking motion remains a challenging topic, as they occur in a very short time, generate high impulsive forces, cause sudden changes in velocities and result in rapid energy losses.
Georgios Vlachakis +3 more
wiley +1 more source
The Effect of Diverse Linguistic Experience on Second Language-Accented English Sentence Recognition Among Monolingual and Spanish-English Bilingual Children and Adults. [PDF]
Cowan TM +3 more
europepmc +1 more source
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini +2 more
wiley +1 more source
Inference on function-valued parameters using a restricted score test. [PDF]
Hudson A, Carone M, Shojaie A.
europepmc +1 more source
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai +7 more
wiley +1 more source
Autodesmotic reactions for general strain energy evaluation in polycyclic aromatic nanocarbons. [PDF]
Wang Y.
europepmc +1 more source
ABSTRACT This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO2 emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic‐ordinary least square (DOLS), fully‐modified ...
Palanisamy Manigandan +4 more
wiley +1 more source
Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability. [PDF]
Fulton L, Lyu P.
europepmc +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source

