Results 71 to 80 of about 641 (195)
Record‐Wise Disaggregated Seismic Fragilities for Interconnected Systems
ABSTRACT Seismic risk assessment studies typically rely on fragility functions/curves to characterize the susceptibility of an asset or a class of assets to damage. These curves are essentially a summarization of responses evaluated on the basis of ground motions with record characteristics and intensities that may or may not be tied to a specific site
Nikolaos D. Karaferis +4 more
wiley +1 more source
Methods Based on Polynomial Chaos for Quadratic Delay Differential Equations With Random Parameters
ABSTRACT We consider systems of delay differential equations (DDEs), including a single delay and a quadratic right‐hand side. In a system, parameters are replaced by random variables to perform an uncertainty quantification. Thus the solution of the DDEs becomes a random process, which can be represented by a series of the generalised polynomial chaos.
Roland Pulch
wiley +1 more source
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes +4 more
wiley +1 more source
Meshfree methods based on radial basis functions (RBFs) are popular tools for the numerical solution of parabolic stochastic partial differential equations (PSPDEs).
Mohsen Esmaeilbeigi +2 more
doaj
A Thermodynamic Framework for Turing‐Type Instabilities in Porous Media: Part II Applications
Abstract Compaction bands, desiccation cracks, and melt segregation structures are geological patterns relying on the same fundamental manifestations of a universal Turing‐type instability mechanism, as predicted by the thermodynamically consistent reaction–cross‐diffusion framework developed in Part I (Regenauer‐Lieb et al., 2025, https://doi.org/10 ...
Klaus Regenauer‐Lieb +5 more
wiley +1 more source
A spectral collocation method for solving stochastic fractional integro-differential equation [PDF]
In this paper, a numerical scheme based on shifted Vieta-Lucas polynomials is utilised to solve mentioned equation. The main characteristic of the presented method is to approximate Brownian motion with help of the Gauss-Legendre quadrature, which ...
Mahsa Zaboli, Haleh Tajadodi
doaj +1 more source
Split-step collocation methods for stochastic Volterra integral equations
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiao, Y., Shi, J.N., Yang, Z.W.
openaire +2 more sources
Abstract Hurricanes drive diverse estuarine phytoplankton responses and can trigger cascading ecological and physicochemical impacts. Capturing these short‐term dynamics requires high spatiotemporal resolution. Here, we applied a globally‐applicable coastal ocean color algorithm, Variational Autoencoder (VAE), to Sentinel‐2 MSI imagery for chlorophyll ...
J. Li +9 more
wiley +1 more source
Medium‐Range Predictability of the Wintertime Bering Sea Ice Edge Using Linear Inverse Modeling
Abstract Beginning in autumn, sea ice expands into the southern Bering Sea, where it remains until spring. In winter, some commercial stocks, particularly crabs, thrive in ice‐infested areas, necessitating short‐lead forecasts of the ice edge for fishers.
Christopher J. Cox, Cécile Penland
wiley +1 more source
This study explores a stochastic guarantee cost control (GCC) for time-varying systems with random parameters and asymmetric saturation actuators by employing the integral reinforcement learning (IRL) method in the dynamic event-triggered (DET) mode ...
Yuling Liang +4 more
doaj +1 more source

