Machine Learning - Anson's Notes

Anson's Notes

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Machine Learning

A collection of 3 posts

Machine Learning Directed Study: Report 2

Summary The report details a project focused on analyzing satellite debris using 3D models from GrabCAD. The initial dataset consists of three satellite assemblies, processed in Blender to convert them into STL files, resulting in 108 unique parts. An algorithm was implemented in Julia to calculate essential properties like moments

Machine Learning Directed Study: Report 1

Summary The report details the initial steps of a project focused on analyzing orbital debris using 3D models. The author began by gathering high-quality 3D models from GrabCad, specifically a 6U CubeSat model with 48 unique parts. Data preparation involved deriving fundamental properties from each part using Fusion 360, a

Space Debris Characterization Using Machine Learning Methods

Summary The document discusses a research proposal focused on addressing the growing threat of orbital debris, which poses significant risks to space infrastructure. Current models used by NASA are based on 2D images and lack crucial features for accurate modeling. The proposed approach utilizes high-resolution 3D scanning to capture the