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Found 4 papers, 1 papers with code
A deep learning approach for inverse design of the metasurface for dual-polarized waves
Here, we have used the Deep Neural Network (DNN) for the generation of desired output unit cell structures in an ultra-wide working frequency band for both TE and TM polarized waves.
Deep neural network-based automatic metasurface design with a wide frequency range
Beyond the scope of conventional metasurface which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an effective way for metasurfaces design.
EEGsig: an open-source machine learning-based toolbox for EEG signal processing
In the quest to realize a comprehensive EEG signal processing framework, in this paper, we demonstrate a toolbox and graphic user interface, EEGsig, for the full process of EEG signals.
Some useful approximations for calculation of directivities of multibeam power patterns of large planar arrays
In this paper, by adopting the superposition of terms with unequal coefficients, some useful closed-form formulas for the class of large planar arrays are presented for predicting the directivities of radiated beams.
