Leveraging machine learning for sustainable solid waste management: A global perspective

Leveraging machine learning for sustainable solid waste management: A global perspective

A diverse array of socioeconomic, demographic, and environmental factors influences the quantity and composition of municipal solid waste (MSW). Yet, the paucity of consistent waste data continues to impede the formulation of effective solid waste management strategies globally. This gap poses signi...

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Bibliographic Details
Main Authors: Ajaya Subedi, Sahil Shrestha, Anish Ghimire, Shukra Raj Paudel
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Sustainable Futures
Subjects:
Municipal solid waste (MSW)
Sustainable management
Machine learning (ML)
Prediction modeling
Global scalability
Online Access:http://www.sciencedirect.com/science/article/pii/S2666188825006628
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