Results 81 to 90 of about 2,964 (174)
Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data
ABSTRACT In spatial statistics, the spatially varying coefficient model (SVCM) is widely applied in the analysis and interpolation of non‐stationary spatial data. By incorporating spatially varying coefficients, the model can capture spatial heterogeneity and provide an attractive interpretation of response‐covariate associations.
Tong Wu, Nan Chen, Zhi‐Sheng Ye
wiley +1 more source
Bayesian Spatiotemporal Models for Counts of Tropospheric Ozone Daily Exceedances
ABSTRACT In Northern Italy, air quality has recently become a major concern. The Lombardy region is classified as one of the most polluted areas in Europe due to a combination of geographical factors, high population density, and industrial activities.
Michela Frigeri +2 more
wiley +1 more source
Overshooting of Hypoplastic Models With Intergranular Strain: Manifestation, Implications and Remedy
ABSTRACT Intergranular strain extensions of hypoplasticity (IGS, ISA, GIS) are widely used to model small‐strain and cyclic soil behaviour. However, recent studies and our own simulations reveal that these models can exhibit stress overshooting not only under repeated small loading cycles but also during monotonic loading.
Jan Machaček +2 more
wiley +1 more source
Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal +3 more
wiley +1 more source
ABSTRACT The pressing requirement for agricultural systems to adopt climate change adaptation strategies specifically designed for tropical environments underscores the significance of implementing sustainable bull breeding practices in beef cattle operations.
Antonio Reverter +3 more
wiley +1 more source
Abstract Accurate quantification of hazardous material releases in cities is critical for emergency managers aiming to mitigate health impacts and mortality in the population. Here, a study on the development and evaluation of a high‐resolution (1‐km, 1‐hr) urban‐scale atmospheric inverse modeling system for the Washington, DC, and Baltimore, MD ...
Miguel Cahuich‐López +18 more
wiley +1 more source
Robust Generation of Topological Biphoton Mode via Adiabatic Passage
Topological waveguide arrays support robust mode propagation in the presence of fabrication imperfections, providing a significant advantage for on‐chip quantum information processing. However, this robustness does not fully extend to nonlinear biphoton generation.
Jaesung Lim +6 more
wiley +1 more source
Self‐Similar Blowup for the Cubic Schrödinger Equation
ABSTRACT We give a rigorous proof for the existence of a finite‐energy, self‐similar solution to the focusing cubic Schrödinger equation in three spatial dimensions. The proof is computer‐assisted and relies on a fixed point argument that shows the existence of a solution in the vicinity of a numerically constructed approximation.
Roland Donninger, Birgit Schörkhuber
wiley +1 more source
Modeling Biocemented Sands: Hypoplastic Model for MICP‐Based Ground Improvement
ABSTRACT Bio‐cementation offers a sustainable and low‐carbon alternative to conventional ground improvement methods, aligning with the growing demand for green geotechnical solutions. To enable reliable numerical simulation of bio‐cemented soil behavior in engineering applications, advanced constitutive models are required to account for the effects of
Merita Tafili +3 more
wiley +1 more source
Efficient Tensor Completion Algorithms for Highly Oscillatory Operators
ABSTRACT We address the problem of recovering highly oscillatory operators, represented as n×n$$ n\times n $$ matrices with a fixed set of observed entries. Given that these matrices can be well compressed by butterfly matrix decomposition of L=𝒪(logn) levels requiring only O(nlogn)$$ O\left(n\log n\right) $$ degrees of freedom, we propose a novel ...
Navjot Singh +3 more
wiley +1 more source

