Abstract: Improving the quality of underwater images is essential for advancing marine research and technology. This work introduces a sparsity-driven interpretable neural network (SINET) for the ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Abstract: This paper investigates the routing problem in the mega low earth orbit (mLEO) satellite constellations considering factors including distribution of the users, topology of the networks and ...