Waste classification using support vector machine with SIFT-PCA feature extraction

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Waste classification using support vector machine with SIFT-PCA feature extraction

Population growth and changes in public consumption patterns cause increases in the volume, types and characteristics of the waste. This increase requires waste management effort. One of the efforts that can be performed is by separating waste into several types. Upon waste separation, the waste can...

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Bibliographic Details
Main Authors:	Puspaningrum, Adita Putri, Endah, Sukmawati Nur, Sasongko, Priyo Sidik, Kusumaningrum, Retno, ., Khadijah, ., Rismiyati, Ernawan, Ferda
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2020
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/30353/ http://umpir.ump.edu.my/id/eprint/30353/1/Waste%20classification%20using%20support%20vector1.pdf

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