Journal Articles: 

  • Díaz-Romero, D., Van den Eynde, S., Sterkens, W., et al., Real-time classification of aluminum metal scrap with laser-induced breakdown spectroscopy using deep and other machine learning approaches. Spectrochimica Acta Part B: Atomic Spectroscopy (2022).
  • Díaz-Romero, D., Van den Eynde, S., Sterkens, W.,  Engelen, B., Zaplana, I., Dewulf, W., Goedemé, T., and Peeters, J., 2022. Simultaneous mass estimation and class classification of scrap metals using deep learningResources, Conservation and Recycling181, p.106272.
  • Van den Eynde, S., Bracquené, E ,Díaz-Romero, D., Zaplana, I., Engelen, B., Joost R., D. and Peeters, J., 2022. Forecasting global aluminium flows to demonstrate the need for improved sorting and recycling methods, Waste Management137.
  • Díaz-Romero, D., Sterkens, W., Van den Eynde, S., Goedemé, T., Dewulf, W. and Peeters, J., 2021. Deep learning computer vision for the separation of Cast-and Wrought-Aluminum scrap. Resources, Conservation and Recycling172, p.105685.

Conference Articles (Open-acess):