Source Themes

In this work, a novel data-driven approach is proposed for abnormality localization of DPSs motivated by the spatial independent component analysis (SICA) used in functional Magnetic Resonance Imaging (fMRI).

In this work, we make the first attempt to solve the interesting yet challenging problem, i.e., identification of spatio-temporal source with unknown shape function using the idea of adaptive observers.

In this work, a unified framework is proposed by us to predict epidemic spreading scale on networks using ensemble learning techniques.