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Application of machine learning algorithms in municipal solid waste management: A mini review

Population growth and the acceleration of urbanization have led to a sharp increase in municipal solid waste production, and researchers have sought to use advanced technology to solve this problem. Machine learning (ML) algorithms are good at modeling complex nonlinear processes and have been gradu...

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Detalles Bibliográficos
Autores principales: Xia, Wanjun, Jiang, Yanping, Chen, Xiaohong, Zhao, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016669/
https://www.ncbi.nlm.nih.gov/pubmed/34269157
http://dx.doi.org/10.1177/0734242X211033716
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author Xia, Wanjun
Jiang, Yanping
Chen, Xiaohong
Zhao, Rui
author_facet Xia, Wanjun
Jiang, Yanping
Chen, Xiaohong
Zhao, Rui
author_sort Xia, Wanjun
collection PubMed
description Population growth and the acceleration of urbanization have led to a sharp increase in municipal solid waste production, and researchers have sought to use advanced technology to solve this problem. Machine learning (ML) algorithms are good at modeling complex nonlinear processes and have been gradually adopted to promote municipal solid waste management (MSWM) and help the sustainable development of the environment in the past few years. In this study, more than 200 publications published over the last two decades (2000–2020) were reviewed and analyzed. This paper summarizes the application of ML algorithms in the whole process of MSWM, from waste generation to collection and transportation, to final disposal. Through this comprehensive review, the gaps and future directions of ML application in MSWM are discussed, providing theoretical and practical guidance for follow-up related research.
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spelling pubmed-90166692022-04-20 Application of machine learning algorithms in municipal solid waste management: A mini review Xia, Wanjun Jiang, Yanping Chen, Xiaohong Zhao, Rui Waste Manag Res Mini-Review Article Population growth and the acceleration of urbanization have led to a sharp increase in municipal solid waste production, and researchers have sought to use advanced technology to solve this problem. Machine learning (ML) algorithms are good at modeling complex nonlinear processes and have been gradually adopted to promote municipal solid waste management (MSWM) and help the sustainable development of the environment in the past few years. In this study, more than 200 publications published over the last two decades (2000–2020) were reviewed and analyzed. This paper summarizes the application of ML algorithms in the whole process of MSWM, from waste generation to collection and transportation, to final disposal. Through this comprehensive review, the gaps and future directions of ML application in MSWM are discussed, providing theoretical and practical guidance for follow-up related research. SAGE Publications 2021-07-16 2022-06 /pmc/articles/PMC9016669/ /pubmed/34269157 http://dx.doi.org/10.1177/0734242X211033716 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Mini-Review Article
Xia, Wanjun
Jiang, Yanping
Chen, Xiaohong
Zhao, Rui
Application of machine learning algorithms in municipal solid waste management: A mini review
title Application of machine learning algorithms in municipal solid waste management: A mini review
title_full Application of machine learning algorithms in municipal solid waste management: A mini review
title_fullStr Application of machine learning algorithms in municipal solid waste management: A mini review
title_full_unstemmed Application of machine learning algorithms in municipal solid waste management: A mini review
title_short Application of machine learning algorithms in municipal solid waste management: A mini review
title_sort application of machine learning algorithms in municipal solid waste management: a mini review
topic Mini-Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016669/
https://www.ncbi.nlm.nih.gov/pubmed/34269157
http://dx.doi.org/10.1177/0734242X211033716
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