Results 151 to 160 of about 5,397,311 (205)
Global Graph Surrogates and Neural Graph Elements for Computational Mechanics
ABSTRACT Machine learning surrogates are increasingly used to accelerate physics‐based simulations by predicting full‐field responses at a fraction of the computational cost. In this contribution, we present two complementary graph‐based approaches for surrogate modelling in computational mechanics.
Rutwik Gulakala, Marcus Stoffel
wiley +1 more source
ABSTRACT Safe and reliable communication infrastructure for advanced air mobility requires an intelligent and adaptable propagation channel. Electromagnetic meta‐materials, especially meta‐surfaces such as the reconfigurable intelligent surface enable such intelligence allowing programmability with multiple modes of electromagnetic wave manipulation ...
Roshan Antony Gomez, Michael Kaliske
wiley +1 more source
Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha +3 more
wiley +1 more source
Tensor‐Train Compression of a Volume Integral Eddy Current Problem in Discontinuous Galerkin
ABSTRACT The paper presents a low‐rank tensor compression strategy based on the tensor‐train (TT) format for the integral operator arising in eddy current problems. Unlike classical matrix compression techniques such as the fast multipole method (FMM) or hierarchical matrices (ℋ$$ \mathscr{H} $$‐matrices), which typically compress only far‐field ...
Anthony Torosyan +5 more
wiley +1 more source
In the aftermath of a large earthquake, several practical constraints affect the systematic collection of data for assessing building damage. The available data are therefore typically incomplete, frequently missing key information such as the type of construction, age and geographic location.
Max Anderson Loake, Kishor S. Jaiswal
wiley +1 more source
Abstract Groundwater is vital for water supply, irrigation, and environmental sustainability, yet contamination remains a global challenge. Remediation of contaminated aquifers is hindered by difficulties in tracking contaminant spread and identifying pollutant sources.
Maria Grazia Zanoni +3 more
wiley +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source
ABSTRACT Simulating human mobility is crucial for urban planning, environmental exposure assessment, and social behavior studies. However, existing methods often rely on rules and assumptions, making it difficult to provide robust results and explicit decision‐making processes when generating plausible daily activity trajectories from sparse location ...
Haoran Ma, Mei‐Po Kwan
wiley +1 more source
Johnson–Schwartzman gap labeling for metric and discrete decorated graphs
Abstract We study Schrödinger operators on metric and discrete decorated graphs. The values taken by the integrated density of states (IDS) on spectral gaps are called gap labels. A natural question is which gap labels can occur. We answer this for graphs arising from uniquely ergodic one‐dimensional dynamical systems by proving Johnson–Schwartzman gap‐
Ram Band, Gilad Sofer
wiley +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source

