Atıf İçin Kopyala
ÖZKAN K., ERGİN S., IŞIK Ş., Isikli I.
WASTE MANAGEMENT, cilt.35, ss.29-35, 2015 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
35
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Basım Tarihi:
2015
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Doi Numarası:
10.1016/j.wasman.2014.09.030
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Dergi Adı:
WASTE MANAGEMENT
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus
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Sayfa Sayıları:
ss.29-35
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Anahtar Kelimeler:
Classification, Feature extraction, Majority voting, Plastic waste, Support vector machine, SUPPORT VECTOR MACHINES, QUALITY-CONTROL, STRATEGIES, KERNEL, PLANTS, SVM
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Eskişehir Osmangazi Üniversitesi Adresli:
Evet
Özet
Since recycling of materials is widely assumed to be environmentally and economically beneficial, reliable sorting and processing of waste packaging materials such as plastics is very important for recycling with high efficiency. An automated system that can quickly categorize these materials is certainly needed for obtaining maximum classification while maintaining high throughput.