Results 161 to 170 of about 3,768,610 (218)

Survey on differential estimators for 3d point clouds

Computer Graphics Forum, EarlyView.
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, Thibault Lejemble, David Coeurjolly, Loïc Barthe, Nicolas Mellado   +4 more
wiley   +1 more source

Global asymmetries in the moisture origins of atmospheric river precipitation [PDF]

NPJ Clim Atmos Sci
Crespo-Otero A, Insua-Costa D, Deman VMH, López C, Hernández-García E, Míguez-Macho G.   +5 more
europepmc   +2 more sources

Parametrized Graph Convolutional Multi-Agent Reinforcement Learning with Hybrid Action Spaces in Dynamic Topologies. [PDF]

Biomimetics (Basel)
Chi P, Liu C, Zhao J, Wang Y.
europepmc   +1 more source

Mixed Super‐Circles

Computer Graphics Forum, EarlyView.
Abstract We introduce mixed super‐circles, a position‐curvature formulation of the original dynamic 2D super‐helix model. Compared to the latter, purely curvature‐based model – the so‐called chained formulation –, the mixed formulation that we propose here drastically reduces the algorithmic complexity of the solving scheme – from quadratic to quasi ...
Emile Hohnadel, Thibaut Métivet, Florence Bertails‐Descoubes   +2 more
wiley   +1 more source

Rhythms and Background (RnB): The Spectroscopy of Sleep Recordings. [PDF]

eNeuro
Dubé J, Foti M, Jaffard S, Latreille V, Frauscher B, Carrier J, Lina JM.   +6 more
europepmc   +1 more source

Geometry‐Aware Alignment and Comparison of Hierarchical Morse Complexes with Applications

Computer Graphics Forum, EarlyView.
Abstract Scalar fields derived from 3D X‐ray CT scans of samples undergoing ex situ processes, such as thermal aging, chemical etching, or mechanical stress, pose unique challenges for characterizing similarities and differences across acquisitions. Typically, a sample A (source) is imaged, removed, and subjected to experimental conditions that alter ...
Aniketh Venkat, Attila Gyulassy, Peer‐Timo Bremer, Valerio Pascucci   +3 more
wiley   +1 more source

Broadband Infrared Absorption Features of Metasurfaces Constructed with a Titanium-Dielectric-Titanium Array Architecture. [PDF]

Nanomaterials (Basel)
Zhang C, Hu J, Chen H, Shao X, Yao X, You F, Wang H, Zhang X.   +7 more
europepmc   +1 more source

Differentiable Randers‐Finsler Eikonal Solvers

Computer Graphics Forum, EarlyView.
Abstract Fast and differentiable solvers for anisotropic and asymmetric distance fields are a key primitive in geometry processing, enabling gradient‐based optimization over metrics, drift fields, and downstream objectives that depend on geodesic distances and geodesics.
Barak Gahtan, Jacob Shpund, Alex M. Bronstein   +2 more
wiley   +1 more source

Residual-aware lightweight deep learning framework for high-fidelity intrusion detection in UAV swarm networks. [PDF]

Sci Rep
Wang J, Alsubait T, Mufleh ASS, Hossain MA.   +3 more
europepmc   +1 more source

Geographic Classification of Social Bees Using Automated Wing Pattern Analysis

Entomologia Experimentalis et Applicata, EarlyView.
We present an end‐to‐end deep learning framework for automated geographic classification of honey bee populations based on wing morphology. A dataset of 1040 wing images from seven regions was analyzed using four CNN architectures with transfer learning.
Emine Dilara Çavuş, Cansu Özge Tozkar
wiley   +1 more source