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Use of a convolutional neural network for the classification of microbeads in urban wastewater

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dc.contributor.authors Yurtsever, M; Yurtsever, U;
dc.date.accessioned 2020-02-26T08:57:11Z
dc.date.available 2020-02-26T08:57:11Z
dc.date.issued 2019
dc.identifier.citation Yurtsever, M; Yurtsever, U; (2019). Use of a convolutional neural network for the classification of microbeads in urban wastewater. CHEMOSPHERE, 216, 280-271
dc.identifier.issn 0045-6535
dc.identifier.uri https://doi.org/10.1016/j.chemosphere.2018.10.084
dc.identifier.uri https://hdl.handle.net/20.500.12619/50228
dc.description.abstract Scientists are on the lookout for a practical model that can serve as a standard for sorting out, identifying, and characterizing microplastics which are common occurrences in water sources and wastewaters. The microbeads (MBs) used in cosmetics and discharged into the sewer systems after use cause substantial microplastics pollution in the receiving waters. Today, the use of plastic microbeads in cosmetics is banned. The existing use cases are to be discontinued within a few years. Yet, there are no restrictions regarding the use of microbeads in a number of industries, cleaning products, pharmaceuticals and medical practices. In this context, the determination and classification of MBs which had so far been discharged to water sources and which continue to be discharged, represent crucial problems. In this work, we examined a new approach for the classification of MBs based on microscopic images. For classification purposes, Convolutional Neural Network (CNN) -a Deep Learning algorithm- was employed, whereas GoogLeNet architecture served as the model. The network is built from scratch, and trained then after tested on a total of 42928 images containing MBs in 5 distinct cleansers. The study performed with the CNN which achieved a classification performance of 89% for MBs in wastewater. (C) 2018 Elsevier Ltd. All rights reserved.
dc.language English
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD
dc.subject Environmental Sciences & Ecology
dc.title Use of a convolutional neural network for the classification of microbeads in urban wastewater
dc.type Article
dc.identifier.volume 216
dc.identifier.startpage 271
dc.identifier.endpage 280
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Çevre Mühendisliği Bölümü
dc.contributor.saüauthor Yurtsever, Meral
dc.contributor.saüauthor Yurtsever, Ulaş
dc.relation.journal CHEMOSPHERE
dc.identifier.wos WOS:000451494600029
dc.identifier.doi 10.1016/j.chemosphere.2018.10.084
dc.identifier.eissn 1879-1298
dc.contributor.author Yurtsever, Meral
dc.contributor.author Yurtsever, Ulaş


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