Browsing by Author "Goedemé, Toon"
Now showing items 1-4 of 4
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Classification of aluminum scrap by laser induced breakdown spectroscopy (LIBS) and RGB + D image fusion using deep learning approaches
(2023-03)
Article
Restricted access - publisher's policyIntegrating multi-sensor systems to sort and monitor complex waste streams is one of the most recent innovations in the recycling industry. The complementary strengths of Laser-Induced Breakdown Spectroscopy (LIBS) and ... -
Enhanced plastic recycling using RGB+depth fusion with massFaster and massMask R-CNN
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessThe rapid increase in waste generation from electrical and electronic equipment (WEEE) has created the need for more advanced sensor-based systems to sort this complex type of waste. Therefore, this study proposes a method ... -
Real-time classification of aluminum metal scrap with laser-induced breakdown spectroscopy using deep and other machine learning approaches
(2022-10)
Article
Open AccessIn the recycling industry, the use of deep spectral convolutional networks for the purpose of material classification and composition estimation is still limited, despite the great opportunities of these techniques. In ... -
Simultaneous mass estimation and class classification of scrap metals using deep learning
(2022-06)
Article
Open AccessWhile deep learning has helped improve the performance of classification, object detection, and segmentation in recycling, its potential for mass prediction has not yet been explored. Therefore, this study proposes a system ...
