Results 71 to 80 of about 691 (194)
Abstract Uncertainty in anthropogenic forcing driven by aerosol‐cloud interactions (aci) limits our ability to infer the sensitivity of the Earth system to forcing from historical records. The driver of aci is the change in cloud droplet number concentration (Nd) due to changes in aerosol serving as cloud condensation nuclei (CCN).
Dani B. Jones +9 more
wiley +1 more source
Explicit solutions to delay differential equation (DDE) and stochastic delay differential equation (SDDE) can rarely be obtained, therefore numerical methods are adopted to solve these DDE and SDDE.
Sami Ullah Khan, Ishtiaq Ali
doaj +1 more source
CNN‐Based Accent Similarity Detection Using Masked Spectrogram Reconstruction
Convolutional Neural Network Masked Spectrogram Reconstruction model to enhance accent recognition and similarity assessment in automatic speech recognition. Addressing challenges in recognizing non‐native English accents, the method utilizes randomly masked spectrogram inputs to extract accent‐specific features.
Amina Salifu +8 more
wiley +1 more source
The Influence of Random Element Displacement on DOA Estimates Obtained with (Khatri–Rao-)Root-MUSIC
Although a wide range of direction of arrival (DOA) estimation algorithms has been described for a diverse range of array configurations, no specific stochastic analysis framework has been established to assess the probability density function of the ...
Veronique Inghelbrecht +3 more
doaj +1 more source
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
A stochastic collocation approach for parabolic PDEs with random domain deformations. [PDF]
Castrillón-Candás JE, Xu J.
europepmc +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
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
We derive a new method of conditional Karhunen-Loève (KL) expansions for stochastic coefficients in models of flow and transport in the subsurface, and in particular for the heterogeneous random permeability field.
Mina E. Ossiander +2 more
doaj +1 more source

