Results 41 to 50 of about 27,316 (287)
V-Band Geodesic Generalized Luneburg Lens Antenna With High Beam Crossover Gain [PDF]
Oskar Zetterström +6 more
openalex +1 more source
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
A note on geodesic and almost geodesic mappings of homogeneous Riemannian manifolds [PDF]
Let \(M\) be a differentiable manifold and denote by \(\nabla\) and \(\tilde{\nabla}\) two linear connections on \(M\). \(\nabla\) and \(\tilde{\nabla}\) are said to be geodesically equivalent if and only if they have the same geodesics.
Stanisław Formella
doaj
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Conformal Interactions of Osculating Curves on Regular Surfaces in Euclidean 3-Space
Conformal maps preserve angles and maintain the local shape of geometric structures. The osculating curve plays an important role in analyzing the variations in curvature, providing a detailed understanding of the local geometric properties and the ...
Yingxin Cheng +4 more
doaj +1 more source
Geodesic motion near self-gravitating scalar field configurations
We study the geodesics motion of neutral test particles in the static spherically symmetric spacetimes of black holes and naked singularities supported by a selfgravitating real scalar field.
Ivan M. Potashov +2 more
doaj +1 more source
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Anthony Yezzi +1 more
openaire +2 more sources
Optimal Small Scale Equidistribution of Lattice Points on the Sphere, Heegner Points, and Closed Geodesics [PDF]
Peter Humphries, Maksym Radziwiłł
openalex +1 more source
Worklow for calibrating excursion sets of random fields using methods from generative artificial intelligence. This article presents a computational method for generating virtual 3D morphologies of functional materials using low‐parametric stochastic geometry models, that is, digital twins, calibrated with 2D microscopy images.
Orkun Furat +10 more
wiley +1 more source
A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim +4 more
wiley +1 more source

