Our new pre-printed paper, “Classification of Aluminum Scrap by Laser Induced Breakdown Spectroscopy (LIBS) and RGB+D Image Fusion Using Deep Learning Approaches” is out :)

Post Author:Dillam Diaz
Post published:November 9, 2022
Post Category:News / Publications

We are focusing to show how #rgb + #3d and #libs systems can be fused to improve the classification of scrap #aluminium. This presents a new multi inputs and outputs #deeplearning structure that encompasses the excellent potential for sorting #postconsumer aluminum scrap.

http://ssrn.com/abstract=4272447

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Simultaneous Mass Estimation and Class Classification of Scrap Metals using Deep Learning

Our new article is out: Real-time classification of aluminum metal scrap with laser-induced breakdown spectroscopy using deep and other machine learning approaches.

Our New article is out, and you can read it in the following link for the first 50 days “Classification of aluminum scrap by laser-induced breakdown spectroscopy (LIBS) and RGB + D image fusion using deep learning approaches.”