Monthly Archives: November 2022

Our New pre-printed: Deep Learning Regression for Quantitative LIBS Analysis of Aluminium Scrap

Our New pre-printed: Deep Learning Regression for Quantitative LIBS Analysis of Aluminium Scrap

This study presents two novel methods for fusing RGB and Depth images with LIBS using Deep Learning models. The first method is a single-output model that combines LIBS UNET and…

Continue Reading Our New pre-printed: Deep Learning Regression for Quantitative LIBS Analysis of Aluminium Scrap
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 :)

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 :)

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…

Continue Reading 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 :)