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

Subedi A, Shrestha S, Giri S, Paudel SR

DOI: 10.1038/s41598-026-56324-9
Published: 2026 Jun 5
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-56324-9,
  title = {Machine learning-based prediction of global solid waste generation and composition.},
  author = {Subedi A and Shrestha S and Giri S and Paudel SR},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-56324-9},
  url = {https://doi.org/10.1038/s41598-026-56324-9}
}

RIS

TY  - JOUR
TI  - Machine learning-based prediction of global solid waste generation and composition.
AU  - Subedi A
AU  - Shrestha S
AU  - Giri S
AU  - Paudel SR
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-56324-9
UR  - https://doi.org/10.1038/s41598-026-56324-9
ER  -

APA

A, S., S, S., S, G., & SR, P. (2026). Machine learning-based prediction of global solid waste generation and composition.. Scientific reports. https://doi.org/10.1038/s41598-026-56324-9

Source records

pubmed · retrieved 2026-09-27T10:15:50.912Z