Abstract: Many transfer learning methods have been proposed to implement fault transfer diagnosis, and their loss functions are usually composed of task-related losses, distribution distance losses, ...

Abstract: In this article, we propose an integrated calibration and identification method that can identify kinematic and dynamic parameters at the same time. Only a series of static experiments are ...

This Python project provides a means of running parallelized Widom's Test Particle Insertion Method [1] on all sorts of configurations drawn from molecular-dynamics or monte-carlo simulations. This ...

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...