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

Abstract: Underwater object detection is of great significance for various applications in underwater scenes. However, class imbalance issue is still an unsolved bottleneck for current underwater ...

Python dataclasses work behind the scenes to make your Python classes less verbose and more powerful all at once. Here's an introduction to using dataclasses in Python. Everything in Python is an ...

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blockMesh is a very powerful mesher but creating even simple meshes requires a lot of manual work. Attempts to simplify or parametrize blockMeshDicts with #calc or m4 often become cryptic and hard to ...

This tutorial covers easy magic tricks using items like cards, rubber bands, and pencils. Each trick is selected for its simplicity and visual appeal, making them perfect for beginners. The video ...

Spending hours manually creating address objects on your Palo Alto Networks firewall? There’s a smarter, faster way! This guide will show you how to leverage the Pan-OS REST API and Python to automate ...

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