Results 61 to 70 of about 223,659 (257)
Estratégia para divisão de áreas de estudo em problemas logísticos: uso do diagrama de Voronoi com obstáculos [PDF]
, 2004 Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Produção.Compreendendo a eficácia do uso do Diagrama de Voronoi na obtenção de soluções em Logística, a presente tese, além de ...
Silva, Arinei Carlos Lindbeck da
core
The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells
Advanced Science, EarlyView.Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato +9 more
wiley +1 more source
Dynamic Construction of Spherical Raster Voronoi Diagrams Based on Ordered Dilation
ISPRS International Journal of Geo-InformationThe Voronoi diagram on the Earth’s surface is a significant data model, characterized by natural proximity and dynamic stability, which has emerged as one of the most promising solutions for global spatial dynamic management and analysis.
Qingping Liu +5 more
doaj +1 more source
On levels in arrangements and voronoi diagrams [PDF]
Discrete & Computational Geometry, 1991 The author introduces a powerful technique of so-called \(\theta\) series and probabilistic games which are suitable for the analysis of combinatorial and algorithmical complexity of randomized geometric algorithms. Fundamental results concerning the construction of levels in an arrangement of hyperplanes and higher-order Voronoi diagrams in any ...
openaire +2 more sources
Advanced Science, EarlyView.The WTP is a key component of static drainage PEMFCs, enabling cathode water removal and gas sealing through capillary forces. This work investigates the mechanisms governing WTP drainage and sealing performance and develops predictive approaches for WTP design optimization.
Mengdi Guo +3 more
wiley +1 more source
On Clustering Induced Voronoi Diagrams
SIAM Journal on Computing, 2013 https://info.arxiv.org/help/prep ...
Danny Z. Chen +3 more
openaire +4 more sources
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Improved time-space trade-offs for computing Voronoi diagrams
Journal of Computational Geometry, 2018 Let $P$ be a planar set of $n$ sites in general position. For $k \in \{1, \dots, n-1\}$, the Voronoi diagram of order $k$ for $P$ is obtained by subdividing the plane into cells such that points in the same cell have the same set of nearest $k ...
Bahareh Banyassady +6 more
doaj +1 more source
Voronoi Diagrams of Moving Points [PDF]
International Journal of Computational Geometry & Applications, 1998 Consider a set of n points in d-dimensional Euclidean space, d ≥ 2, each of which is continuously moving along a given individual trajectory. As the points move, their Voronoi diagram changes continuously, but at certain critical instants in time, topological events occur that cause a change in the Voronoi diagram.
Gerhard Albers +3 more
openaire +3 more sources
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source