Adjusting control system parameters, especially the manual process of fine-tuning the three "P, I, and D" gains of PID control, relies heavily on experience and intuition, and it consumes a surprising ...

These are my go-to libraries for Python data crunching.

In recent years, the development of AI and machine learning has led an increasing number of companies to automate the optimization of design and control parameters. In particular, a configuration that ...

The code implements the numerical studies associated with the paper's component-informed data-center power-delivery model and its integration into positive-sequence power-system dynamic analysis. The ...

A lean, parameter-free, empirically linear-time algebraic multigrid solver for graph-Laplacian linear systems Lφ = b (spectral clustering, centrality, semi-supervised learning, finite-element analysis ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...