Results 161 to 170 of about 100,866 (281)
On the interpretability of machine and deep learning techniques for predicting CBR of stabilized soil containing agro-industrial wastes. [PDF]
Ghorbanzadeh S +3 more
europepmc +1 more source
ABSTRACT Risk‐based approaches to regulatory governance are ubiquitous. One aspect of such approaches suggests regulators direct their attention towards companies that have already violated regulations. However, such approaches have made little use of available data to explore these companies, especially compared to companies that do not transgress ...
Ben Hunter
wiley +1 more source
An innovative meshless approach for solving 2D Allen-Cahn equations using the RBF-compact finite difference method. [PDF]
Fardi M, Azarnavid B, Emami H.
europepmc +1 more source
Grocery Retail Location Patterns in Brno: Clustering, Inequality and Street Network Centrality
Abstract This study aims to evaluate the spatial distribution and clustering patterns of grocery retail chains in Brno, Czech Republic, focusing on national and multinational stores. By employing Geographic Information Systems and advanced spatial analysis techniques, including the nearest neighbour method, standard deviational ellipse, Kernel density ...
Josef Kunc +5 more
wiley +1 more source
Rethinking the Bland-Altman plot when quantifying virtual coronary physiology. [PDF]
Taylor DJ +4 more
europepmc +1 more source
A priori bounds for the generalised parabolic Anderson model
Abstract We show a priori bounds for solutions to (∂t−Δ)u=σ(u)ξ$(\partial _t - \Delta) u = \sigma (u) \xi$ in finite volume in the framework of Hairer's Regularity Structures [Invent Math 198:269–504, 2014]. We assume σ∈Cb2(R)$\sigma \in C_b^2 (\mathbb {R})$ and that ξ$\xi$ is of negative Hölder regularity of order −1−κ$- 1 - \kappa$ where κ<κ¯$\kappa <
Ajay Chandra +2 more
wiley +1 more source
Effects of Measurement Distance on Linear Taylor Patterns with Reduced Inner Sidelobes. [PDF]
Seoane-Campos A +3 more
europepmc +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault +6 more
wiley +1 more source

