Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Learn how to compute and visualize electric field vectors using Python. This tutorial walks you through coding the physics behind electric fields and creating clear, interactive visualizations to make ...

Abstract: The design of a lightweight deep learning model would be an ideal solution for overcoming resource limitations when implementing artificial intelligence in edge sites. In this study, we ...

The output path must be a directory; it will be created if it does not exist. Input formats are auto-detected per file. Unsupported formats and write-only inputs (e.g., SVG) are skipped with a warning ...