Abstract: Neural networks (NNs) have emerged as powerful tools for accelerating the design of frequency-selective surfaces (FSSs) due to their fast prediction of electromagnetic (EM) responses.

The information about the Python version, interpretation of the prediction results, and the simulation validation section can be found in the issues.

Abstract: In single-pixel imaging, the correlation between the measurement matrix and the sparse basis is a key factor affecting the quality of image reconstruction. In order to overcome the ...