Results 101 to 110 of about 177,748 (281)
Neural network with signal parameters featuring for near‐surface velocity model building
Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
wiley +1 more source
Greater future range expansions in alien than native ant species
There is growing concern that many species may not be able to track suitable conditions under climate change and suffer range contractions as a result. At the same time, alien species introduced to novel geographic ranges are often assumed to benefit from climate change.
Tongyi Liu +2 more
wiley +1 more source
Abstract Road traffic noise is a pervasive environmental pollutant that negatively affects wildlife globally. Despite growing research, quantifying the spatial extent of noise impacts remains underdeveloped. Soundscape mapping from social sciences and engineering literature offers a useful yet rarely implemented tool to depict noise impact distances ...
Yael Lehnardt +3 more
wiley +1 more source
On some nonlinear potential problems
The degree theory of mappings is applied to a two-dimensional semilinear elliptic problem with the Laplacian as principal part subject to a nonlinear boundary condition of Robin type. Under some growth conditions we obtain existence.
M. A. Efendiev +2 more
doaj
Graphical abstract illustrating the experimental design and key findings of the study. ABSTRACT Basalt fiber‐reinforced polymer (BFRP) composites are gaining attention as sustainable alternatives to conventional fiber‐reinforced polymers owing to their favorable mechanical properties and environmental advantages.
Abdulrahman Adeiza Musa +7 more
wiley +1 more source
Schematic illustration of ±45° tensile testing, including detection of first‐ply failure (FPF) by optical crack detection and acoustic emission monitoring, comparison of FPF values with ASTM D3518 and D3039 criteria, and resulting ply level stress states at FPF for GF‐ and CF‐epoxy laminates.
Maria Gfrerrer +4 more
wiley +1 more source
We aim to construct exact and explicit solutions to a generalized Bogoyavlensky-Konopelchenko equation through the Maple computer algebra system. The considered nonlinear equation is transformed into a Hirota bilinear form, and symbolic computations are ...
Shou-Ting Chen, Wen-Xiu Ma
doaj +1 more source
Inhomogeneous supersymmetric bilinear forms
We consider inhomogeneous supersymmetric bilinear forms, i.e., forms that are neither even nor odd. We classify such forms up to dimension seven in the case when the restrictions of the form to the even and odd parts of the superspace are nondegenerate. As an application, we introduce a new type of oscillator Lie superalgebra.
Bakalov, Bojko, Sullivan, McKay
openaire +2 more sources
ABSTRACT Under continued climate warming, understanding present‐day permafrost distribution and the controls on ground thaw are critical for predicting permafrost thaw trajectories and associated implications. This study presents a high‐resolution investigation of permafrost extent and active layer thickness (ALT) across a coniferous forested hillslope
Alana Muenchrath +2 more
wiley +1 more source
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray +5 more
wiley +1 more source

