2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
PGNAA Spectral Classification of Aluminium and Copper Alloys with Machine Learning
Henrik Folz, Joshua Henjes, Annika Heuer +7
In this paper, we explore the optimization of metal recycling with a focus on real-time differentiation between alloys of copper and aluminium. Spectral data, obtained through Prom…
cs.LG2022★ 2 cited
"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method
Ka Yung Cheng, Helmand Shayan, Kai Krycki +1
There is a pressing market demand to minimize the test time of Prompt Gamma Neutron Activation Analysis (PGNAA) spectra measurement machine, so that it could function as an instant…
cs.LG2022★ 1 cited
PGNAA Spectral Classification of Metal with Density Estimations
Helmand Shayan, Kai Krycki, Marco Doemeland +1
For environmental, sustainable economic and political reasons, recycling processes are becoming increasingly important, aiming at a much higher use of secondary raw materials. Curr…