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). https://doi.org/10.1016/j.sab.2022.106519
- 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 learning. Resources, Conservation and Recycling, 181, p.106272. https://www.sciencedirect.com/science/article/pii/S0921344922001203
- 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 Management, 137. https://www.sciencedirect.com/science/article/abs/pii/S0921344921002949
- 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 Recycling, 172, p.105685. https://www.sciencedirect.com/science/article/abs/pii/S0921344921002949
Conference Articles (Open-acess):
- Van den Eynde, S., Díaz-Romero, D., Zaplana, I., Engelen, B. and Peeters, J., 2022. Assessing the efficiency of Laser-Induced Breakdown Spectroscopy (LIBS) based sorting of post-consumer aluminium scrap, 29th CIRP Conference on Life Cycle Engineering. https://www.sciencedirect.com/science/article/pii/S2212827122000464
- Engelen, B., De Marelle, D., Díaz-Romero, D., Van den Eynde, S., Zaplana, I., R. Peeters, J., and Kellens, K., 2022.Techno-Economic Assessment of Robotic Sorting of Aluminium Scrap, 29th CIRP Conference on Life Cycle Engineering ,https://www.sciencedirect.com/science/article/pii/S2212827122000269