Coastal solid waste prediction by applying machine learning approaches (Case study: Noor, Mazandaran Province, Iran)
Nowadays, intelligent systems are used as innovative tools in different environmental issues. However, the prediction of short-term waste, unlike the long-term scale, is less developed due to more uncertainties and the difficulty in determining measurable independent parameters. In this study, two t...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
University of Guilan
2020-07-01
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Series: | Caspian Journal of Environmental Sciences |
Subjects: | |
Online Access: | https://cjes.guilan.ac.ir/article_4135_dc14dcf0147e6100627ab86dbd9eb7d7.pdf |