We'll also see how well it generates new data, and finally we'll go over the key limitations of the copilot function. At the very end, I'll show you an alternative function to the copilot formula in ...

This project corresponds to one of the capstone projects unit of the Master of Complex Systems at USyd. I 'translated' almost all the tutorials, originally written in Matlab, into Python. The ...

The PLoM (Probabilistic Learning on Manifolds) software is a MATLAB-based toolbox designed to perform advanced probabilistic modeling and learning on manifolds. It is particularly useful for analyzing ...

Abstract: MATLAB is a dynamic numerical scripting language widely used by scientists, engineers and students. While MATLAB'S high-level syntax and dynamic types makes it ideal for prototyping, ...

Abstract: This paper proposes a Kalman filter based state-of-charge (SOC) estimation MATLAB function using a second-order RC equivalent circuit model (ECM). The function requires the SOC-OCV (open ...