| Title: | A waste separation system based on sensor technology and deep learning: a simple approach applied to a case study of plastic packaging waste |
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| Authors: | ID Pučnik, Rok (Author)
ID Dokl, Monika (Author)
ID Van Fan, Yee (Author)
ID Vujanović, Annamaria (Author)
ID Novak-Pintarič, Zorka (Author)
ID Aviso, Kathleen B. (Author)
ID Tan, Raymond R. (Author)
ID Pahor, Bojan (Author)
ID Kravanja, Zdravko (Author)
ID Čuček, Lidija (Author) |
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| Files: |  1-s2.0-S0959652624012101-main.pdf (3,64 MB)
MD5: C5AAFFE856C1A5A2581E1F437C1978BF
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FKKT - Faculty of Chemistry and Chemical Engineering
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| Keywords: | waste management, smart waste bin system, central post-sorting, sensor technology, deep learning, convolutional neural networks |
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| Submitted for review: | 27.02.2024 |
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| Article acceptance date: | 11.03.2024 |
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| Publication date: | 12.03.2024 |
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| Publisher: | Elsevier |
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| Year of publishing: | 2024 |
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| Number of pages: | 15 str. |
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| Numbering: | Vol. 450 |
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| PID: | 20.500.12556/DKUM-90147  |
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| UDC: | 620.9 |
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| ISSN on article: | 1879-1786 |
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| COBISS.SI-ID: | 188801795 |
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| DOI: | 10.1016/j.jclepro.2024.141762 |
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| Publication date in DKUM: | 23.08.2024 |
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| Views: | 268 |
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| Downloads: | 50 |
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| Metadata: |    |
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| Categories: | Misc.
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