During the acquisition of electroencephalographic (EEG) signals, data may be missing or corrupted by noise and artifacts. To reconstruct the incomplete data, EEG signals are firstly converted into a three-order tensor ...

One of the current issues in brain-computer interface (BCI) is how to deal with noisy electroencephalography (EEG) measurements organized as multidimensional datasets (tensors). On the other hand, recently, significant ...

We study whether the operator space V ∗∗ α ⊗ W∗∗ can be identified with a subspace of the bidual space (V α ⊗ W) ∗∗, for a given operator space tensor norm. We prove that this can be done if α is finitely generated and V ...

Audio inpainting is a widely used technology in the real world since audio signals with missing data are pervasive in many scenarios. The majority of existing works address the time gaps in single-channel audio signals, ...

Uncertain tensors encode to what extent n-ary predicates are satisfied. For instance, the times users spent on different websites week after week can be turned into degrees of interest of the users (1st dimension) for the ...

Gifted children are able to learn in a more advanced way than others, probably due to neurophysiological differences in the communication efficiency in neural pathways. Topological features contribute to understanding the ...

Type A surfaces are the locally homogeneous affine surfaces which can be locally described by constant Christoffel symbols. We address the issue of the geodesic completeness of these surfaces: we show that some models for ...

In this work, a Finite Element Method treatment is outlined for the equations of Magnetoaerodynamics. In order to provide a good basis for numerical treatment of Magneto-aerodynamics, a full version of the complete equations ...

In this work, a Finite Element Method treatment is outlined for the equations of Magnetoaerodynamics. In order to provide a good basis for numerical treatment of Magneto-aerodynamics, a full version of the complete equations ...