Consider traffic data (ie, triplets in the form of source-destination-timestamp) that grow over
time. Tensors (ie, multi-dimensional arrays) with a time mode are widely used for modeling …

This study focuses on examining various approaches for Tensor Decompositions (TDs) and
their potential applications in satellite imaging (SI) and deep learning (DL). The research …