Deep learning regression for quantitative LIBS analysis of aluminium scrap
The Life Cycle Engineering (LCE) research group (SIM2 – KU Leuven) developed a Deep Learning regression method for the quantitative analysis of aluminium post-consumer scrap using Laser Induced Breakdown Spectroscopy (LIBS). The work is published in Spectrochimica Acta Part B.