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Machine learning-based prediction of global solid waste generation and composition

Crossref DOI link: https://doi.org/10.1038/s41598-026-56324-9

Published Online: 2026-06-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Subedi, Ajaya https://orcid.org/0009-0008-3691-250X
Shrestha, Sahil https://orcid.org/0009-0001-3624-3130
Giri, Santosh https://orcid.org/0009-0003-0577-7345
Paudel, Shukra Raj https://orcid.org/0000-0002-5764-2990
License Information

Text and Data Mining valid from 2026-06-05

Accepted Manuscript valid from 2026-06-05
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Article History

Received: 22 January 2026

Accepted: 30 May 2026

First Online: 5 June 2026

Declarations

:

: The authors declare no competing interests.