Dillam Jossue Díaz‐Romero

Detection and recognition of batteries on X-Ray images of waste electrical and electronic equipment using deep learning

Wouter Sterkens, Dillam Jossue Díaz‐Romero, Toon Goedemé et al. · Resources Conservation and Recycling · 2020 · 97 citations · Full text

Computing, Computer Science, Electrical Engineering +15

Forecasting global aluminium flows to demonstrate the need for improved sorting and recycling methods

Simon Van den Eynde, Ellen Bracquené, Dillam Jossue Díaz‐Romero et al. · Waste Management · 2021 · 94 citations · Full text

Engineering, Environmental Engineering, Materials Engineering +14

Deep learning computer vision for the separation of Cast- and Wrought-Aluminum scrap

Dillam Jossue Díaz‐Romero, Wouter Sterkens, Simon Van den Eynde et al. · Resources Conservation and Recycling · 2021 · 49 citations

Engineering, Computer Science, Materials Engineering +12

Real-time classification of aluminum metal scrap with laser-induced breakdown spectroscopy using deep and other machine learning approaches

Dillam Jossue Díaz‐Romero, Simon Van den Eynde, Wouter Sterkens et al. · Spectrochimica Acta Part B Atomic Spectroscopy · 2022 · 42 citations · Full text

Computing, Materials Engineering, Materials Science +15

Classification of aluminum scrap by laser induced breakdown spectroscopy (LIBS) and RGB + D image fusion using deep learning approaches

Dillam Jossue Díaz‐Romero, Simon Van den Eynde, Isiah Zaplana et al. · Resources Conservation and Recycling · 2023 · 40 citations · Full text

Computing, Materials Engineering, Materials Science +14