Results 71 to 80 of about 130,788 (348)
Geodesics and the competition interface for the corner growth model [PDF]
, 2015 We study the directed last-passage percolation model on the planar integer lattice with nearest-neighbor steps and general i.i.d. weights on the vertices, outside the class of exactly solvable models. In Georgiou et al. (Probab Theory Relat Fields, 2016,
N. Georgiou +2 more
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.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 the trajectories of null and timelike geodesics in different wormhole geometries
, 2018 The paper deals with an extensive study of null and timelike geodesics in the background of wormhole geometries. Starting with a spherically symmetric spacetime, null geodesics are analyzed for the Morris-Thorne wormhole(WH) and photon spheres are ...
Chakraborty, Subenoy, Mishra, Anuj
core +1 more source
Connections and geodesics in the space of metrics [PDF]
, 2015 We argue that the exponential relation $g_{\mu\nu} = \bar{g}_{\mu\rho}\big(\mathrm{e}^h\big)^\rho{}_\nu$ is the most natural metric parametrization since it describes geodesics that follow from the basic structure of the space of metrics.
M. Demmel, Andreas Nink
semanticscholar +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Advanced Intelligent Systems, EarlyView.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
Kinematic space for conical defects
Journal of High Energy Physics, 2017 Kinematic space can be used as an intermediate step in the AdS/CFT dictionary and lends itself naturally to the description of diffeomorphism invariant quantities.
Jesse C. Cresswell, Amanda W. Peet
doaj +1 more source
On pairs of prime geodesics with fixed homology difference [PDF]
, 2006 We exhibit the analogy between prime geodesics on hyperbolic Riemann surfaces and ordinary primes. We present new asymptotic counting results concerning pairs of prime geodesics whose homology difference is fixed.Comment: 19 pages, Corrected typos ...
Risager, Morten S.
core +1 more source
Advanced Intelligent Systems, EarlyView.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
Geodesics on the Momentum Phase Space with metric $^{{C}}{g}$
Universal Journal of Mathematics and Applications, 2018 In this paper, a system of the differential equations giving geodesics on the momentum phase space with pseudo Riemann metric $^{C}g$ of a Hamilton space is found by using the Euler Lagrange equations.
İsmet Ayhan
doaj +1 more source
, 2004 Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Anthony Yezzi +1 more
openaire +2 more sources