Results 51 to 60 of about 1,343,954 (317)
Multiple robust approaches for EEG-based driving fatigue detection and classification
Array, 2023 Electroencephalography (EEG) signals are used to evaluate the activities of the brain. For the accidents occurring on the road, one of the primary reasons is driver fatigueness and it can be easily identified by the EEG.
Sunil Kumar Prabhakar, Dong-Ok Won
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Gödel spacetime, planar geodesics and the Möbius map [PDF]
General Relativity and Gravitation, 2020 Timelike geodesics on a hyperplane orthogonal to the symmetry axis of the Gödel spacetime appear to be elliptic-like if standard coordinates naturally adapted to the cylindrical symmetry are used. The orbit can then be suitably described through an eccentricity-semi-latus rectum parametrization, familiar from the Newtonian dynamics of a two-body system.
Bini Donato +3 more
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Sublinearly Morse boundary, II: Proper geodesic spaces [PDF]
Geometry & Topology, 2020 We build an analogue of the Gromov boundary for any proper geodesic metric space, hence for any finitely generated group. More precisely, for any proper geodesic metric space $X$ and any sublinear function $\kappa$, we construct a boundary for $X ...
Yulan Qing, Kasra Rafi, G. Tiozzo
semanticscholar +1 more source
The development of a model for geodesic learning: The geodesic information processing model
South African Journal of Communication Disorders, 1997 The current article suggests that alternatives to the current traditional learning methods are essentials if learning institutions are to provide people with effective life skills that enable them to be autonomous learners.
Caroline M. Leaf +2 more
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Geodesic Mappings and Einstein Spaces [PDF]
, 2012 In this paper we study fundamental properties of geodesic mappings with respect to the smoothness class of metrics. We show that geodesic mappings preserve the smoothness class of metrics. We study geodesic mappings of Einstein spaces.
Hinterleitner, Irena, Mikeš, Josef
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A nonlinear Korn inequality in $\protect \mathbb{R}^n$ with an explicitly bounded constant
Comptes Rendus. Mathématique, 2020 It is known that the $W^{1,p}$-distance between an orientation-preserving mapping in $W^{1,p}(\Omega ;\mathbb{R}^n)$ and another orientation-preserving mapping $\Theta \in C^1(\overline{\Omega };\mathbb{R}^n)$, where $\Omega $ is a domain in $\mathbb{R ...
Malin, Maria, Mardare, Cristinel
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A Geometry Preserving Kernel over Riemannian Manifolds [PDF]
Journal of Artificial Intelligence and Data Mining, 2018 - Kernel trick and projection to tangent spaces are two choices for linearizing the data points lying on Riemannian manifolds. These approaches are used to provide the prerequisites for applying standard machine learning methods on Riemannian manifolds ...
Kh. Sadatnejad +2 more
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Stability of geodesics in the Brownian map
The Annals of Probability, 2017 29 pages, 7 figures, final ...
Angel, Omer +2 more
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Merge Tree Geodesics and Barycenters with Path Mappings
IEEE Transactions on Visualization and Computer Graphics, 2023 Comparative visualization of scalar fields is often facilitated using similarity measures such as edit distances. In this paper, we describe a novel approach for similarity analysis of scalar fields that combines two recently introduced techniques: Wasserstein geodesics/barycenters as well as path mappings, a branch decomposition-independent edit ...
Wetzels, Florian +4 more
openaire +6 more sources
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification [PDF]
Journal of Computational PhysicsIn this work we introduce a manifold learning-based surrogate modeling framework for uncertainty quantification in high-dimensional stochastic systems.
Dimitris G. Giovanis +3 more
semanticscholar +1 more source