Results 101 to 110 of about 29,766 (132)

Motor imagery EEG signal classification using novel deep learning algorithm. [PDF]

Sci Rep
Mathiyazhagan S, Devasena MSG.
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Exploring Limit Cycles of Differential Equations through Information Geometry Unveils the Solution to Hilbert's 16th Problem. [PDF]

Entropy (Basel)
da Silva VB, Vieira JP, Leonel ED.
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Lagrangian multiforms and dispersionless integrable systems. [PDF]

Lett Math Phys
Ferapontov EV, Vermeeren M.
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A Comprehensive Method for Example-Based Color Transfer with Holistic-Local Balancing and Unit-Wise Riemannian Information Gradient Acceleration. [PDF]

Entropy (Basel)
Wang Z, Zhou J, Wang S, Wang N.
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Heterogeneous-IRS-Assisted Millimeter-Wave Systems: Element Position and Phase Shift Optimization. [PDF]

Sensors (Basel)
Zhao W, Wu Q, Wei H, Su D, Zhu Y.
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Quantum Gravity Spacetime: Universe vs. Multiverse. [PDF]

Entropy (Basel)
Tessarotto M, Cremaschini C.
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Intrinsic Information-Theoretic Models. [PDF]

Entropy (Basel)
Bernal-Casas D, Oller JM.
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Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning

Alkan M, Veldtman G, Deligianni F.
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Canonical Metrics II: Critical Metrics of Riemannian Functionals

2020
In this chapter we introduce a second possible way to study canonical metrics on Riemannian manifolds, namely the one related to “Critical Metrics of Riemannian functionals” (CM, for short).
Giovanni Catino, Paolo Mastrolia
openaire   +1 more source

Generalized warped product manifolds and critical Riemannian metric

2012
Summary: We present some properties of generalized warped product manifold. We establish the relationship between the scalar curvature of a generalized warped product \(M\times_f N\) of Riemannian manifolds and those ones of \(M\) an \(N\), and we obtain a necessary condition for a Riemannian metric on \(M \times_f N\) to be critical.
El Houda, Djaa Nour, Mustapha, Djaa
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