Integrating clustering algorithms and machine learning to optimize regional snapshot municipal solid waste management for achieving sustainable development goals

Integrating clustering algorithms and machine learning to optimize regional snapshot municipal solid waste management for achieving sustainable development goals

Effective municipal solid waste management (MSWM) is essential for sustainable urban development, significantly impacting environmental health, economic efficiency, and social well-being. It aligns with Sustainable Development Goal 11 (SDG11), which aims to make cities inclusive, safe, resilient, an...

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Bibliographic Details
Main Authors: Achara Taweesan, Thongchai Kanabkaew, Nawatch Surinkul, Chongrak Polprasert
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Environmental Advances
Subjects:
Clustering algorithms
Collection efficiency
Machine learning
Municipal solid waste management
Sustainable development goal
Treatment efficiency
Online Access:http://www.sciencedirect.com/science/article/pii/S266676572400125X
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