Abstract: Large-scale uniform arrays encounter critical challenges due to dense element arrangements, including excessive hardware, elevated computational complexity, high costs, strong mutual ...

Aims To evaluate whether predominantly peripheral lesions (PPLs) and other imaging biomarkers on ultra-widefield (UWF) ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

This program simulates different algorithms in order show how many steps they take to calculate the cartesian product between two tables. The program is parametrical respect the tables, R and S and ...