This project studies how a real-world variable behaves after applying a non-linear transformation and how its probability density function (PDF) can be learned directly from data. The dataset used is ...

Abstract: It is well-known that power systems operation always affected by various uncertainties which make the bus voltage a random process that can be characterized by its probability density ...

The probability density function of a uniform random variable looks like a horizontal line segment over the support. This indicates that for any interval of a given length within the support, the ...

Abstract: Graph Convolutional Networks (GCNs) have shown promising results in semi-supervised learning tasks, yet their effectiveness is highly dependent on the quality of the input graph. In image ...

Cardiac health management is more than just discipline; it is about tracking counts and plotting a risk graph with the right tests ...

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...