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Python physics lesson 13: How two masses interact via a spring

Welcome to Python Physics Lesson 13, where we explore how two masses interact via a spring. In this lesson, we break down the physics of spring-mass systems and demonstrate how to simulate their ...
IEEE

Self-Supervised Transfer Learning POCS-Net for Seismic Data Interpolation

Abstract: Deep learning has been widely applied to seismic data interpolation. However, most existing methods are based on supervised learning, suffering from limitations such as low generalization ...
IEEE

A Survey of Deep Transfer Learning in Automatic Modulation Classification

Abstract: Automatic modulation classification (AMC) is pivotal in both cooperative and non-cooperative communication systems. Despite achieving significant success in this field, deep learning (DL) is ...
Dot Physics on MSN

Learn momentum conservation with a Python elastic collision model

Learn momentum conservation by building a Python model of elastic collisions! This tutorial guides you step-by-step through simulating elastic collisions, analyzing momentum transfer, and visualizing ...