Unveiling and interpreting the relationships among multi-pollutant emission factors in municipal solid waste incineration by machine learning
- DOI
- 10.1016/j.wasman.2025.115256
- Published
- 2026-01
- Container
- Waste Management
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.wasman.2025.115256,
title = {Unveiling and interpreting the relationships among multi-pollutant emission factors in municipal solid waste incineration by machine learning},
author = {Xingyu Feng and Longshun Liu and Mingshun Ye and Ondřej Mašek and Shaban Gouda and Kenlin Chang and Xu Wang and Qing Huang},
year = {2026},
journal = {Waste Management},
doi = {10.1016/j.wasman.2025.115256},
url = {https://doi.org/10.1016/j.wasman.2025.115256}
}RIS
TY - JOUR TI - Unveiling and interpreting the relationships among multi-pollutant emission factors in municipal solid waste incineration by machine learning AU - Xingyu Feng AU - Longshun Liu AU - Mingshun Ye AU - Ondřej Mašek AU - Shaban Gouda AU - Kenlin Chang AU - Xu Wang AU - Qing Huang PY - 2026 JO - Waste Management DO - 10.1016/j.wasman.2025.115256 UR - https://doi.org/10.1016/j.wasman.2025.115256 ER -
APA
Feng, X., Liu, L., Ye, M., Mašek, O., Gouda, S., Chang, K., Wang, X., & Huang, Q. (2026). Unveiling and interpreting the relationships among multi-pollutant emission factors in municipal solid waste incineration by machine learning. Waste Management. https://doi.org/10.1016/j.wasman.2025.115256
Source records
- crossref · retrieved 2026-09-26T13:31:05.780Z