Results 131 to 140 of about 116,536 (277)

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
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

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

open access: yesEnergy Science &Engineering, EarlyView.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali   +5 more
wiley   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch   +3 more
wiley   +1 more source

Experimental Factors and Techniques for Pool Boiling Heat Transfer Enhancement: A Critical Review

open access: yesHeat Transfer, EarlyView.
ABSTRACT This review presents a comprehensive assessment of active strategies for enhancing pool boiling heat transfer, with a focus on techniques that do not rely solely on the boiling surface modification. It examines a broad range of methodologies including fluid additives, external fields, mechanical interventions, and thermal‐geometric tuning that
José E. Pereira   +2 more
wiley   +1 more source

Embedded AI‐Enabled Wearable Piezoelectric Sensing Cluster for Real‐Time Multijoint Motion Recognition

open access: yesInterdisciplinary Materials, EarlyView.
The distributed multijoint motion recognition cluster based on polyvinylidene fluoride membranes with high piezoelectric properties adopted a one‐master‐multiple‐slaves architecture and multipoint wireless collaboration to synchronously recognize motions of the wrist, elbow, and shoulder.
Zhongkun Wang   +8 more
wiley   +1 more source

A Comparative Study of IVIM‐MRI Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp   +3 more
wiley   +1 more source

CSR disclosure and investment efficiency in MENA countries: The moderating role of CSR committee

open access: yesStrategic Change, EarlyView.
ABSTRACT Corporate social responsibility disclosure (CSRD) is often recognized as a transparency mechanism that allows companies to communicate their commitment to CSR. However, CSRD may also exacerbate agency conflicts. This study addresses these two contrasting perspectives by investigating the impact of CSRD on investment efficiency and exploring ...
Mohamed Malek Belhoula   +3 more
wiley   +1 more source

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