Results 161 to 170 of about 1,591,753 (376)
Model Bias Identification for Bayesian Calibration of Stochastic Digital Twins of Bridges
ABSTRACT Simulation‐based digital twins must provide accurate, robust, and reliable digital representations of their physical counterparts. Therefore, quantifying the uncertainty in their predictions plays a key role in making better‐informed decisions that impact the actual system.
Daniel Andrés Arcones+3 more
wiley +1 more source
The Grushin plane and quasiconformal Jacobians [PDF]
We construct a quasiconformal map from the Grushin plane to the Euclidean plane. Then, we generalize the Grushin plane slightly and explain how the Grushin plane can serve as an intermediary in dealing with quasiconformal maps on Euclidean spaces. In particular, we construct a family of quasiconformal embeddings of the Euclidean plane into larger ...
arxiv
Abstract The primary objective of this study was to develop a custom algorithm to assess three‐dimensional (3D) acetabular coverage of the femoral head based on surface models generated from computed tomography (CT) imaging. The secondary objective was to apply this algorithm to asymptomatic young adult hip joints to assess the regional 3D acetabular ...
Holly D. Aitken+6 more
wiley +1 more source
MoebInv: C++ libraries for manipulations in non-Euclidean geometry
The introduced package MoebInv contains two C++ libraries for symbolic, numeric and graphical manipulations in non-Euclidean geometry. The first library cycle implements basic geometric operations on cycles, which are the zero sets of certain polynomials
Vladimir V. Kisil
doaj
The Double Six of Lines and a Theorem in Euclidean Plane Geometry [PDF]
John Dougall
openalex +1 more source
Bi-Lipschitz Quotient embedding for Euclidean Group actions on Data [PDF]
For the action of the orthogonal group or euclidean group on k-tuples of vectors we construct a bi-Lipschitz embedding from the orbit space into euclidean space.This embedding has distortion sqrt(2).
arxiv
An Optical Representation of Non-Euclidean Geometry [PDF]
George H. Bryan
openalex +1 more source
Practical assessment of masonry tunnel joint segmentation using topological machine learning
Abstract Condition assessment of masonry lined tunnels is time consuming and labor intensive. Recently developed digital workflows enable structural models to be created automatically, reducing analysis time. As part of these procedures, it is important to be able to identify the location of each masonry block.
Jack Smith, Chrysothemis Paraskevopoulou
wiley +1 more source