2 citations · 3 across the 4 of their papers we have counts for
4 papers
Numerical Robustness of PINNs for Multiscale Transport Equations
Alexander Jesser, Kai Krycki, Ryan G. McClarren +1
We investigate the numerical solution of multiscale transport equations using Physics Informed Neural Networks (PINNs) with ReLU activation functions. Therefore, we study the analo…
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…
"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…
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…