Results 51 to 60 of about 2,769 (160)
Dimension inequalities of multifractal Hausdorff measures and multifractal packing measures
Given a Borel probability measure \(\mu\) on \({\mathbb R}^n\), the core of multifractal analysis consists of computing the (Hausdorff) dimensional multifractal spectrum of \(\mu\), that is, \[ f_{\mu}(\alpha)=\text{ dim}\left\{x: \alpha_{\mu}(x):= \lim_{r\rightarrow 0}{\log\mu B(x,r)\over \log r}=\alpha\right\}, \] and then establishing whether the ...
openaire +3 more sources
Machine Learning for Local Detection of Separators in Three‐Dimensional Magnetic Fields
Abstract Magnetic reconnection is a major plasma phenomenon occurring in various key environments ranging from the Sun and near‐Earth space to astrophysical plasmas. While magnetic reconnection is relatively well‐understood under two‐dimensional (2D) settings, it remains challenging to characterize in three‐dimensional (3D) magnetic fields.
Fanni Franssila +5 more
wiley +1 more source
Local dimensions in Moran constructions
We study the dimensional properties of Moran sets and Moran measures in doubling metric spaces. In particular, we consider local dimensions and $L^q$-dimensions.
Käenmäki, Antti +2 more
core +1 more source
An extended definition of Anosov representation for relatively hyperbolic groups
Abstract We define a new family of discrete representations of relatively hyperbolic groups which unifies many existing definitions and examples of geometrically finite behavior in higher rank. The definition includes the relative Anosov representations defined by Kapovich–Leeb and Zhu, and Zhu–Zimmer, as well as holonomy representations of various ...
Theodore Weisman
wiley +1 more source
Abstract Introduction Accurate segmentation and classification of cervical spine fractures are essential for timely diagnosis and clinical decision‐making in trauma care. Existing deep learning approaches often require extensive manual annotations and struggle to maintain anatomical consistency across vertebral levels, limiting their reliability and ...
Qing Liang +7 more
wiley +1 more source
Measures and the Law of the Iterated Logarithm
Let m be a unidimensional measure with dimension d. A natural question is to ask if the measure m is comparable with the Hausdorff measure (or the packing measure) in dimension d.
Bhouri, Imen, Heurteaux, Yanick
core +1 more source
The notion of a completely saturated packing [Fejes Toth, Kuperberg and Kuperberg, Highly saturated packings and reduced coverings, Monats. Math. 125 (1998) 127-145] is a sharper version of maximum density, and the analogous notion of a completely ...
Fejes Tóth +4 more
core +3 more sources
Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley +1 more source
Comparing Two Novel LiDAR‐Based Indices for Quantifying Forest Structural Complexity
This study compares two LiDAR‐derived forest structural complexity indices: the fractal‐based box dimension (Db$$ {D}_b $$) and the entropy‐based canopy entropy (CE$$ CE $$). Analysis of 170 plots revealed a strong linear correlation (r = 0.823) between Db$$ {D}_b $$ and CE$$ CE $$, but computation was much slower.
Tillman Reuter +2 more
wiley +1 more source
From Low Field to High Value: Robust Cortical Mapping From Low‐Field MRI
Recon‐any processes a brain MRI acquired with arbitrary contrast, resolution, and field strength to generate morphometric measurements comparable to FreeSurfer's recon‐all, including cortical (parcellation, thickness, etc.) and volumetric (segmentation, regional volumes) outputs.
Karthik Gopinath +15 more
wiley +1 more source

