Works matching DE "CENTROIDAL Voronoi tessellations"
Results: 127
Model Based Estimation of Geometric Characteristics of Open Foams.
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- Methodology & Computing in Applied Probability, 2012, v. 14, n. 4, p. 1011, doi. 10.1007/s11009-010-9208-5
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Asymptotics for Some Combinatorial Characteristics of the Convex Hull of a Poisson Point Process in the Clifford Torus.
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- Discrete & Computational Geometry, 2013, v. 49, n. 2, p. 200, doi. 10.1007/s00454-012-9476-7
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Automatic Reassembly of Three-Dimensional Jigsaw Puzzles.
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- International Journal of Image & Graphics, 2016, v. 16, n. 2, p. -1, doi. 10.1142/S0219467816500091
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Working the crowd: sociable vervets benefit by reducing exposure to risk.
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- Behavioral Ecology, 2016, v. 27, n. 4, p. 988, doi. 10.1093/beheco/arw003
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Enhanced Effectiveness in Various Ladder Graphs Based on the F -Centroidal Meanness Criterion.
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- Mathematics (2227-7390), 2023, v. 11, n. 14, p. 3205, doi. 10.3390/math11143205
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Hyperbolic Geometrically Uniform Codes and Ungerboeck Partitioning on the Double Torus.
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- Symmetry (20738994), 2022, v. 14, n. 3, p. 449, doi. 10.3390/sym14030449
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Generation of Numerical Models of Anisotropic Columnar Jointed Rock Mass Using Modified Centroidal Voronoi Diagrams.
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- Symmetry (20738994), 2018, v. 10, n. 11, p. 618, doi. 10.3390/sym10110618
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Understanding Geometric Pattern and its Geometry Part 8 -- Designing patterns with alternative tessellations in decagonal geometry.
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- Electronic Journal of Mathematics & Technology, 2022, v. 16, n. 3, p. 141
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Detecting nano-scale protein clustering.
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- Nature Methods, 2015, v. 12, n. 11, p. 1019, doi. 10.1038/nmeth.3641
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Elastic Properties Calibration Approach for Discrete Element Method Model Based on Voronoi Tessellation Method.
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- Geotechnical & Geological Engineering, 2019, v. 37, n. 3, p. 2227, doi. 10.1007/s10706-018-0682-9
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Laguerre Voronoi Diagram as a Model for Generating the Tessellation Patterns on the Sphere.
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- Graphs & Combinatorics, 2020, v. 36, n. 2, p. 371, doi. 10.1007/s00373-019-02006-5
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Signed distance field framework for unified DEM modeling of granular media with arbitrary particle shapes.
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- Computational Mechanics, 2022, v. 70, n. 4, p. 763, doi. 10.1007/s00466-022-02220-8
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An integrated computational framework for simulating the failure response of carbon fiber reinforced polymer composites.
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- Computational Mechanics, 2017, v. 60, n. 6, p. 1033, doi. 10.1007/s00466-017-1457-5
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A new method for the generation of arbitrarily shaped 3D random polycrystalline domains.
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- Computational Mechanics, 2014, v. 54, n. 6, p. 1447, doi. 10.1007/s00466-014-1068-3
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Voronoi tessellation-based regionalised segmentation for colour texture image.
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- IET Computer Vision (Wiley-Blackwell), 2016, v. 10, n. 7, p. 613, doi. 10.1049/iet-cvi.2015.0299
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Re-evaluating the Use of Voronoi Tessellations in the Assessment of Oxygen Supply from Capillaries in Muscle.
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- Bulletin of Mathematical Biology, 2012, v. 74, n. 9, p. 2204, doi. 10.1007/s11538-012-9753-x
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Centroidal Voronoi Tessellations—A New Approach to Random Testing.
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- IEEE Transactions on Software Engineering, 2013, v. 39, n. 2, p. 163, doi. 10.1109/TSE.2012.18
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REGIONAL SAR IMAGE SEGMENTATION BASED ON FUZZY CLUSTERING WITH GAMMA MIXTURE MODEL.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2017, v. 4, n. 2/W4, p. 471, doi. 10.5194/isprs-annals-IV-2-W4-471-2017
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Limits of Applicability of the Voronoi Tessellation Determined by Centers of Cell Nuclei to Epithelium Morphology.
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- Frontiers in Physiology, 2016, v. 7, p. 1, doi. 10.3389/fphys.2016.00551
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The Unified Conceptual Space Theory: an enactive theory of concepts.
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- Adaptive Behavior, 2013, v. 21, n. 3, p. 168, doi. 10.1177/1059712313482803
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On the measure of Voronoi cells.
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- Journal of Applied Probability, 2017, v. 54, n. 2, p. 394, doi. 10.1017/jpr.2017.7
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On the optimality of voronoi‐based column selection.
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- Numerical Methods for Partial Differential Equations, 2024, v. 40, n. 6, p. 1, doi. 10.1002/num.23137
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Adaptive tetrahedral mesh generation by constrained centroidal voronoi-delaunay tessellations for finite element methods.
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- Numerical Methods for Partial Differential Equations, 2014, v. 30, n. 5, p. 1633, doi. 10.1002/num.21845
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Fourier-Voronoi-based generation of realistic samples for discrete modelling of granular materials.
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- Granular Matter, 2012, v. 14, n. 5, p. 621, doi. 10.1007/s10035-012-0356-x
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3DClusterViSu: 3D clustering analysis of super-resolution microscopy data by 3D Voronoi tessellations.
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- Bioinformatics, 2018, v. 34, n. 17, p. 3004, doi. 10.1093/bioinformatics/bty200
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The PPI3D web server for searching, analyzing and modeling protein--protein interactions in the context of 3D structures.
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- Bioinformatics, 2017, v. 33, n. 6, p. 935, doi. 10.1093/bioinformatics/btw756
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Optimization of Hot Forging Parameters for Gear Based on Improved Simulated Annealing Algorithm.
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- Journal of Henan University of Science & Technology, Natural Science, 2024, v. 45, n. 5, p. 12, doi. 10.15926/j.cnki.issn1672-6871.2024.05.002
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- Article
Optimization of Hot Forging Parameters for Gear Based on Improved Simulated Annealing Algorithm.
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- Journal of Henan University of Science & Technology, Natural Science, 2024, v. 45, n. 5, p. II
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CAVD, towards better characterization of void space for ionic transport analysis.
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- Scientific Data, 2020, v. 7, n. 1, p. 1, doi. 10.1038/s41597-020-0491-x
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A method for the generation of 3D representative models of granular based materials.
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- International Journal for Numerical Methods in Engineering, 2017, v. 112, n. 4, p. 338, doi. 10.1002/nme.5521
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Safe Coverage Control of Multi-Agent Systems and Its Verification in ROS/Gazebo Environment.
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- Information (2078-2489), 2024, v. 15, n. 8, p. 462, doi. 10.3390/info15080462
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MPAS-Seaice (v1.0.0): Sea-ice dynamics on unstructured Voronoi meshes.
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- Geoscientific Model Development Discussions, 2021, p. 1, doi. 10.5194/gmd-2021-355
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Resource Aware Sensor-to-Actor Allocation Framework for WSANs Based on Voronoi Cells Theory.
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- Journal of Sensors, 2017, p. 1, doi. 10.1155/2017/4523945
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Atomic Scale Investigation of Structural Properties and Glass Forming Ability of Ti<sub>100−<italic>x</italic></sub>Al<sub><italic>x</italic></sub> Metallic Glasses.
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- Metallurgical & Materials Transactions. Part A, 2018, v. 49, n. 6, p. 2513, doi. 10.1007/s11661-018-4541-3
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Subsurface Grain Morphology Reconstruction by Differential Aperture X-ray Microscopy.
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- JOM: The Journal of The Minerals, Metals & Materials Society (TMS), 2017, v. 69, n. 6, p. 1100, doi. 10.1007/s11837-017-2357-z
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Multi-Length Scale Tribology of Electrophoretically Deposited Nickel-Diamond Coatings.
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- JOM: The Journal of The Minerals, Metals & Materials Society (TMS), 2017, v. 69, n. 2, p. 227, doi. 10.1007/s11837-016-2142-4
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Effect of concentration on the structure of isothermally-annealed CuZr metallic glasses.
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- Materials Science & Technology, 2018, v. 34, n. 18, p. 2287, doi. 10.1080/02670836.2018.1530423
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Halton iterative partitioning: spatially balanced sampling via partitioning.
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- Environmental & Ecological Statistics, 2018, v. 25, n. 3, p. 305, doi. 10.1007/s10651-018-0406-6
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Recent Bayesian approaches for spatial analysis of 2-D images with application to environmental modelling.
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- Environmental & Ecological Statistics, 2015, v. 22, n. 3, p. 571, doi. 10.1007/s10651-015-0311-1
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Environmental Density vs. Colour Indices of the Low Redshifts Galaxies.
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- Astrophysics, 2015, v. 58, n. 2, p. 168, doi. 10.1007/s10511-015-9373-x
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Morphology and color indices of galaxies in Pairs: Criteria for the classification of galaxies.
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- Astrophysics, 2012, v. 55, n. 3, p. 293, doi. 10.1007/s10511-012-9236-7
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Four different gene-related cone--rod dystrophy: clinical and genetic findings in six Chinese families with diverse modes of inheritance.
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- Frontiers in Genetics, 2023, p. 1, doi. 10.3389/fgene.2023.1157156
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Trans‐Dimensional Surface Reconstruction With Different Classes of Parameterization.
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- Geochemistry, Geophysics, Geosystems: G3, 2019, v. 20, n. 1, p. 505, doi. 10.1029/2018GC008022
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Meso-scale statistical properties of gas-solid flow-a direct numerical simulation (DNS) study.
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- AIChE Journal, 2017, v. 63, n. 1, p. 3, doi. 10.1002/aic.15489
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Towards Sub-cellular Modeling with Delaunay Triangulation.
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- Mathematical Modelling of Natural Phenomena, 2010, v. 5, n. 1, p. 224, doi. 10.1051/mmnp/20083710
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New quantum surface codes from semi-regular tessellations.
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- Quantum Information Processing, 2023, v. 22, n. 11, p. 1, doi. 10.1007/s11128-023-04147-2
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Bulk In<sub>2</sub>O<sub>3</sub> crystals grown by chemical vapour transport: a combination of XPS and DFT studies.
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- Journal of Materials Science: Materials in Electronics, 2019, v. 30, n. 20, p. 18753, doi. 10.1007/s10854-019-02228-6
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Bounds on the Geometric Complexity of Optimal Centroidal Voronoi Tesselations in 3D.
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- Communications in Mathematical Physics, 2020, v. 377, n. 3, p. 2429, doi. 10.1007/s00220-020-03789-y
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A simple two-step method for spatio-temporal design-based balanced sampling.
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- Stochastic Environmental Research & Risk Assessment, 2018, v. 32, n. 2, p. 457, doi. 10.1007/s00477-017-1409-9
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Spatial cluster point processes related to Poisson-Voronoi tessellations.
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- Stochastic Environmental Research & Risk Assessment, 2015, v. 29, n. 2, p. 431, doi. 10.1007/s00477-014-0914-3
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