Integrating monitoring data to efficiently update reservoir pressure and CO2 plume distribution forecasts presents a significant challenge in geological carbon storage (GCS) applications. Inverse ...

1 Minutia.AI Pte. Ltd., Singapore, Singapore 2 Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy A representation of the cause-effect mechanism is ...

Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of ...

I was wondering if you could tell me the way to use Conditional Gaussian score and Degenerate Gaussian score on causal-learn. I'd like to try GES on mixed dataset and I thought CG score and DG score ...

You might have heard the term “splat” or “Gaussian splat” used recently in the XR space. Gaussian splatting is a rendering technique that has been around for a long time but has found a new ...

Since the Covid-19 pandemic, there has been a rise in cases of postural orthostatic tachycardia syndrome (POTS). The circulation disorder mostly affects women, and while cases used to appear in older ...

Roll a die and ask students to identify the random variable. Since a die can only take on values of 1, 2, 3, 4, 5, or 6, this is a discrete random variable. Repeat ...

This repo visualizes various sorting algorithms using SDL (Simple DirectMedia Layer). The code is designed to run an application that graphically demonstrates how different sorting algorithms work.