Learn how to simulate proton motion in a constant magnetic field using Python! This tutorial walks you through the physics behind charged particle motion, step-by-step coding, and visualization ...

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...

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 ...

Abstract: Global navigation satellite system (GNSS) spoofing attacks pose a serious threat to existing 5G and future 6G networks, as they rely heavily on the high-precision time synchronization ...

Patient-controlled analgesia (PCA) is a pain-management technique that allows patients to self-administer predetermined doses of pain medication using a programmable pump. 1 This approach offers ...

Abstract: Robust tensor principal component analysis (RTPCA) based on tensor singular value decomposition (t-SVD) separates the low-rank component and the sparse component from the multiway data. For ...