Predicting municipal solid waste generation using artificial intelligence: A hybrid approach of entropy analysis and SHAP for optimal feature selection.
- DOI
- 10.1016/j.wasman.2025.115012
- Published
- 2025 Aug
- Container
- Waste management (New York, N.Y.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.wasman.2025.115012,
title = {Predicting municipal solid waste generation using artificial intelligence: A hybrid approach of entropy analysis and SHAP for optimal feature selection.},
author = {Nourani V and Baghanam AH and Samadi E and Uzelaltinbulat S},
year = {2025},
journal = {Waste management (New York, N.Y.)},
doi = {10.1016/j.wasman.2025.115012},
url = {https://doi.org/10.1016/j.wasman.2025.115012}
}RIS
TY - JOUR TI - Predicting municipal solid waste generation using artificial intelligence: A hybrid approach of entropy analysis and SHAP for optimal feature selection. AU - Nourani V AU - Baghanam AH AU - Samadi E AU - Uzelaltinbulat S PY - 2025 JO - Waste management (New York, N.Y.) DO - 10.1016/j.wasman.2025.115012 UR - https://doi.org/10.1016/j.wasman.2025.115012 ER -
APA
V, N., AH, B., E, S., & S, U. (2025). Predicting municipal solid waste generation using artificial intelligence: A hybrid approach of entropy analysis and SHAP for optimal feature selection.. Waste management (New York, N.Y.). https://doi.org/10.1016/j.wasman.2025.115012
Source records
- pubmed · retrieved 2026-09-25T06:09:11.370Z