235 research outputs found
EENED: End-to-End Neural Epilepsy Detection based on Convolutional Transformer
Recently Transformer and Convolution neural network (CNN) based models have
shown promising results in EEG signal processing. Transformer models can
capture the global dependencies in EEG signals through a self-attention
mechanism, while CNN models can capture local features such as sawtooth waves.
In this work, we propose an end-to-end neural epilepsy detection model, EENED,
that combines CNN and Transformer. Specifically, by introducing the convolution
module into the Transformer encoder, EENED can learn the time-dependent
relationship of the patient's EEG signal features and notice local EEG abnormal
mutations closely related to epilepsy, such as the appearance of spikes and the
sprinkling of sharp and slow waves. Our proposed framework combines the ability
of Transformer and CNN to capture different scale features of EEG signals and
holds promise for improving the accuracy and reliability of epilepsy detection.
Our source code will be released soon on GitHub.Comment: Accepted by IEEE CAI 202
Poly[bisÂ[μ-1,4-bisÂ(imidazol-1-ylmethÂyl)benzene]dichloridocadmium(II)]
The title compound, [CdCl2(C14H14N4)2]n, has a slightly distorted octaÂhedral coordination geometry, formed by four N atoms from 1,4-bisÂ(imidazol-1-ylmethÂyl)benzene ligands and two Cl atoms, giving a two-dimensional network. The Cd atom lies on a centre of inversion
Modified steady discrete unified gas kinetic scheme for multiscale radiative heat transfer
In this work, a steady discrete unified gas kinetic scheme (SDUGKS) is
proposed to solve the steady radiative transfer equation (RTE), which is an
improvement of the original SDUGKS [X. F. Zhou et al., J. Comput. Phys. 423,
109767 (2020)]. The trapezoidal rule other than the rectangular rule used in
the original SDUGKS is adopted in the proposed method in the reconstruction of
energy flux across cell interface, just as the unsteady DUGKS. By this way, the
characteristic line length of the modified SDUGKS establishes a relationship
with the Courant-Friedrichs-Lewy (CFL) number in the DUGKS, which guarantees
the accuracy of the modified SDUGKS. Furthermore, the characteristic line
length is no longer limited by the extinction coefficient like in original
SDUGKS. As a result, the modified SDUGKS is more accurate and robust than
original SDUGKS, and more efficient than the DUGKS for steady radiation
problems. Furthermore, the smooth linear interpolation and the van Leer limiter
are used for problems with smooth and discontinuous optical thicknesses,
respectively. Several numerical tests with optical thickness varying from
optical thin to thick are conducted to validate the present scheme. Numerical
results demonstrate that the modified SDUGKS can serve as an effective tool in
the study of multiscale steady radiative heat transfer in participating media.Comment: 23pages,16 figures,2 table
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