Geometrical frustration in nonlinear mechanics of screw dislocation. [PDF]
R Soc Open SciKobayashi S, Tarumi R.
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Combining brain-computer interfaces with deep reinforcement learning for robot training: a feasibility study in a simulation environment. [PDF]
Front Neuroergon, 2023 Vukelić M +3 more
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Singularities in sub-Riemannian geometry
, 2018 We investigate the relationship between features of of sub-Riemannian geometry and an array of singularities that typically arise in this context.With sub-Riemannian Whitney theorems, we ensure the existence of global extensions of horizontal curves defined on closed set by requiring a non-singularity hypothesis on the endpoint-map of the nilpotent ...
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Method for EEG signal recognition based on multi-domain feature fusion and optimization of multi-kernel extreme learning machine. [PDF]
Sci RepGuan S, Dong T, Cong LK.
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Decoding executed and imagined grasping movements from distributed non-motor brain areas using a Riemannian decoder. [PDF]
Front Neurosci, 2023 Ottenhoff MC +8 more
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Spectrum and abnormals in sub-Riemannian geometry: the 4D quasi-contact case
, 2019 Nikhil Savale
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GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals. [PDF]
Patterns (N Y)Paillard J, Hipp JF, Engemann DA.
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On Isolated Singularities and Generic Regularity of Min-Max CMC Hypersurfaces. [PDF]
J Geom AnalBellettini C, Marshall-Stevens K.
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Geometric Structures Induced by Deformations of the Legendre Transform. [PDF]
Entropy (Basel), 2023 Morales PA, Korbel J, Rosas FE.
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