A robust identification method for nonferrous metal scraps based on deep learning and superpixel optimization
End-of-life vehicles (ELVs) provide a particularly potent source of supply for metals. Hence, the recycling and sorting techniques for ferrous and nonferrous metal scraps from ELVs significantly increase metal resource utilization. However, different kinds of nonferrous metal scraps, such as alumini...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 39(2021), 4 vom: 10. Apr., Seite 573-583
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| 1. Verfasser: |
Li, Yifeng
(VerfasserIn) |
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| Weitere Verfasser: |
Qin, Xunpeng,
Zhang, Zhenyuan,
Dong, Huanyu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
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| Schlagworte: | Journal Article
Recycle
classification
convolutional neural network
nonferrous metal scraps
superpixel
Metals
Aluminum
CPD4NFA903 |
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