Results 41 to 50 of about 1,130,790 (239)
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features [PDF]
IEEE transactions on neural systems and rehabilitation engineering, 2017 Riemannian geometry has been successfully used in many brain–computer interface (BCI) classification problems and demonstrated superior performance. In this paper, for the first time, it is applied to BCI regression problems, an important category of BCI
Dongrui Wu +5 more
semanticscholar +1 more source
Geometry of Manifolds and Applications
MathematicsThis editorial presents 24 research articles published in the Special Issue entitled Geometry of Manifolds and Applications of the MDPI Mathematics journal, which covers a wide range of topics from the geometry of (pseudo-)Riemannian manifolds and their ...
Adara M. Blaga
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Elastic Fast Marching Learning from Demonstration
Advanced Intelligent Systems, EarlyView.This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Geodesic Vector Fields on a Riemannian Manifold
Mathematics, 2020 A unit geodesic vector field on a Riemannian manifold is a vector field whose integral curves are geodesics, or in other worlds have zero acceleration. A geodesic vector field on a Riemannian manifold is a smooth vector field with acceleration of each of
Sharief Deshmukh +2 more
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Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces
Balkan Conference in Informatics, 2019 The omnipresence of non-stationarity and noise in Electroencephalogram signals restricts the ubiquitous use of Brain-Computer interface. One of the possible ways to tackle this problem is to adapt the computational model used to detect and classify ...
Satyam Kumar, F. Yger, F. Lotte
semanticscholar +1 more source
Optimal control in nonequilibrium systems: Dynamic Riemannian geometry of the Ising model. [PDF]
Physical review. E, Statistical, nonlinear, and soft matter physics, 2015 A general understanding of optimal control in nonequilibrium systems would illuminate the operational principles of biological and artificial nanoscale machines.
Grant M. Rotskoff, G. Crooks
semanticscholar +1 more source
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
Advanced Intelligent Systems, EarlyView.This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley +1 more source
The χ-Hessian Quotient for Riemannian Metrics
Axioms, 2021 Pseudo-Riemannian geometry and Hilbert–Schmidt norms are two important fields of research in applied mathematics. One of the main goals of this paper will be to find a link between these two research fields. In this respect, in the present paper, we will
Pişcoran Laurian-Ioan +3 more
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Annalen der Physik, EarlyView.The BRST invariant Lagrangian of the gravitationally interacting U(1)$U(1)$ gauge theory, namely the Quantum GraviElectro Dynamics (QGED). The Yan–Mills theory with the Hilbert–Einstein gravitational Lagrangian, namely the Yang–Mills–Utiyama (YMU) theory, is defined and quantised using the standard procedure. The theory is perturbatively renormalisable,
Yoshimasa Kurihara
wiley +1 more source
Advanced Nonlinear Studies, 2022 In this article, we establish a Gaffney type inequality, in Wℓ,p{W}^{\ell ,p}-Sobolev spaces, for differential forms on sub-Riemannian contact manifolds without boundary, having bounded geometry (hence, in particular, we have in mind noncompact manifolds)
Baldi Annalisa +2 more
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