Results 61 to 70 of about 73,170 (329)
On the structure of geodesic orbit Riemannian spaces [PDF]
The paper is devoted to the study of geodesic orbit Riemannian spaces that could be characterized by the property that any geodesic is an orbit of a 1-parameter group of isometries.
Yu.G. Nikonorov
semanticscholar +1 more source
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó +3 more
wiley +1 more source
Geodesic Witten diagrams with an external spinning field [PDF]
We explore AdS/CFT correspondence between geodesic Witten diagrams and conformal blocks (conformal partial waves) with an external symmetric traceless tensor field.
M. Nishida, K. Tamaoka
semanticscholar +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
On CR-lightlike submanifolds in a golden semi-Riemannian manifold
CR-lightlike submanifolds of a golden semi-Riemannian manifold are the focus of the research presented in this work, which aims to define and investigate these structures. Under the context of a golden semi-Riemannian manifold, we study the properties of
Mohammad Aamir Qayyoom +2 more
doaj +1 more source
25 pages, 2 figures.
Barua, Arnab +2 more
openaire +3 more sources
Optimal Transport in Competition with Reaction: The Hellinger-Kantorovich Distance and Geodesic Curves [PDF]
We discuss a new notion of distance on the space of finite and nonnegative measures on $\Omega \subset {\mathbb R}^d$, which we call the Hellinger--Kantorovich distance.
M. Liero, A. Mielke, Giuseppe Savaré
semanticscholar +1 more source
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
Theoretically proved that the displacement of the center of mass of a mechanical system for any of the corners of the counter rotational movement of its working bodies in the plane of the reference body independent of the resistance movement of the ...
S.V. Savelkaev
doaj
A unified method for constructing developable surface pencils interpolating characteristic curves
Developable surface is a simple and common surface in surface modeling. Geodesic, line of curvature, asymptotic curve, and D-type curve are important characteristic curves on the surfaces.
Jun Wang, Miaochao Chen, Dongyin Wang
doaj +1 more source

