Results 71 to 80 of about 1,647 (169)

Einstein Gravity, Lagrange-Finsler Geometry, and Nonsymmetric Metrics

open access: yesSymmetry, Integrability and Geometry: Methods and Applications, 2008
We formulate an approach to the geometry of Riemann-Cartan spaces provided with nonholonomic distributions defined by generic off-diagonal and nonsymmetric metrics inducing effective nonlinear and affine connections.
Sergiu I. Vacaru
doaj   +1 more source

The public goods hypothesis for the evolution of life on Earth

open access: yesBiology Direct, 2011
It is becoming increasingly difficult to reconcile the observed extent of horizontal gene transfers with the central metaphor of a great tree uniting all evolving entities on the planet. In this manuscript we describe the Public Goods Hypothesis and show
Bapteste Eric   +3 more
doaj   +1 more source

Inconsistency of point-particle dynamics on higher-spin backgrounds

open access: yesJournal of High Energy Physics
We use the light-cone gauge formalism to study interactions of point particles with massless higher-spin fields. By analysing the light-cone consistency conditions at the subleading order in higher-spin fields, we find that no local interactions of point
Vyacheslav Ivanovskiy, Dmitry Ponomarev
doaj   +1 more source

RHG-DETR: Riemannian Hyper-Graph Transformer with Dynamic Receptive Fields for Detecting Special Targets in Degraded UAV Imagery

open access: yesRemote Sensing
Special target detection in UAV remote sensing imagery is challenged by composite multi-type degradation, which collectively erodes target structure across every stage of a detection pipeline.
Kaipeng Wang   +4 more
doaj   +1 more source

Geometric Optimal Transport for Cross-Modal Medical Manifold Alignment: A Differential Approach to Multimodal Diagnosis

open access: yesIEEE Access
We present a novel theoretical framework for multimodal medical diagnosis that formulates heterogeneous data integration as a problem of aligning Riemannian manifolds through differential geometric principles.
Yuan Shen
doaj   +1 more source

Optimization of Manifold Learning Using Differential Geometry for 3D Reconstruction in Computer Vision

open access: yesMathematics
Manifold learning is a significant computer vision task used to describe high-dimensional visual data in lower-dimensional manifolds without sacrificing the intrinsic structural properties required for 3D reconstruction. Isomap, Locally Linear Embedding (
Yawen Wang
doaj   +1 more source

Riemannian Manifold Deformation and Persistent Homology in Asymmetric Massive MIMO Channels for Industrial Fog Computing

open access: yesIEEE Access
Industrial Fog Computing topologies demand ultra-reliable, low-latency wireless backhauls executed over massive Multiple-Input Multiple-Output (MIMO) infrastructures. Severe electromagnetic scattering introduces spatial non-stationarities.
David H. Cardenas Villacres
doaj   +1 more source

Two lectures on local riemannian geometry, $Spin^{\C}$ - structures and Seiberg - Witten equation

open access: yes, 2003
In the present text we discuss basic aspects of the Seiberg - Witten theory mainly focusing the attantion on some geometrical details which could make the introduction to the subject more illustrative. At the same time we list there natural problems arise in this framework mostly interesting to the author.
openaire   +2 more sources

On the class of pseudo-Riemannian geometries which can not be locally described using curvature scalars solely

open access: yes, 2014
A classic problem with intriguing implications at the level of both applied differential geometry and theoretical physics is dealt with in this short work: Is there any criterion in order to decide whether a pseudo-Riemannian space can be locally described using curvature scalars solely?
openaire   +2 more sources

Pedestrian dynamics modeling and social force analysis based on object detection

open access: yesFrontiers in Physics
IntroductionObject detection is a fundamental component of modern computational applications, playing a crucial role in pedestrian analysis, autonomous navigation, and crowd monitoring. Despite its widespread utility, pedestrian-oriented object detection
Fangyan Yang, Rong Liu, Daoyu Zhu
doaj   +1 more source

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