A Genetic Algorithm-Optimized Kernel Density Estimation and D-S Evidence Fusion Classification for Predicting the Stability of Double Perovskite Materials. [PDF]
Liang G, Zhang J.
europepmc +1 more source
Fast Injective Mesh Parameterization via Beltrami Coefficient Prolongation
Abstract We present a highly efficient and robust method for free boundary injective parameterization of disk‐like triangle meshes with low isometric distortion. Harmonic function–based approaches, grounded in a strong mathematical framework, are widely employed.
G. Fargion, O. Weber
wiley +1 more source
Reconciling time and prediction error theories of associative learning. [PDF]
Hamou N, Gershman SJ, Reddy G.
europepmc +1 more source
Mesh Processing Non‐Meshes via Neural Displacement Fields
Abstract Mesh processing pipelines are mature, but adapting them to newer non‐mesh surface representations—which enable fast rendering with compact file size—requires costly meshing or transmitting bulky meshes, negating their core benefits for streaming applications.
Yuta Noma +4 more
wiley +1 more source
Meshless numerical simulation on Frost cracking of rock masses containing random fissures under water-ice phase change. [PDF]
Zhu W, Yang X, Liu B, Han X, Yu S.
europepmc +1 more source
Calder\'on-Zygmund theory of nonlocal parabolic equations with discontinuous coefficients
We prove Calder\'on-Zygmund type estimates of weak solutions to non-homogeneous nonlocal parabolic equations under a minimal regularity requirement on kernel coefficients.
Kim, Kyeongbae +2 more
core
Stochastic Pairwise MIS for Unbiased Large‐Kernel Reuse in Real‐Time
Abstract Spatiotemporal resampling methods such as ReSTIR decrease noise in Monte Carlo rendering of dynamic content by reusing paths across frames and pixels. Standard ReSTIR reuses spatially from a small number of randomly selected neighbors. This reuse suffers when few neighbors contain contributing samples, reducing quality toward that of the ...
Trevor Hedstrom +4 more
wiley +1 more source
Analysis of human flow during a natural disaster utilizing trajectory-free mobile network data: a case study of earthquake. [PDF]
Huang MW +4 more
europepmc +1 more source
Survey on differential estimators for 3d point clouds
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source
Boundary-Sensitive Hybrid Attention Network for Multi-Scale Crack Fine Segmentation. [PDF]
Jiang Y +4 more
europepmc +1 more source

