Interpretable machine learning reveals dominant controls and operational windows for humic-associated phosphorus formation during aerobic composting.
- DOI
- 10.1016/j.biortech.2026.136152
- Published
- 2026 Oct 28
- Container
- Bioresource technology
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2026.136152,
title = {Interpretable machine learning reveals dominant controls and operational windows for humic-associated phosphorus formation during aerobic composting.},
author = {Han S and He B and Wang B and Ma X and Li X and Xi F and Huang Z and Zhou Z and Zhou A},
year = {2026},
journal = {Bioresource technology},
doi = {10.1016/j.biortech.2026.136152},
url = {https://doi.org/10.1016/j.biortech.2026.136152}
}RIS
TY - JOUR TI - Interpretable machine learning reveals dominant controls and operational windows for humic-associated phosphorus formation during aerobic composting. AU - Han S AU - He B AU - Wang B AU - Ma X AU - Li X AU - Xi F AU - Huang Z AU - Zhou Z AU - Zhou A PY - 2026 JO - Bioresource technology DO - 10.1016/j.biortech.2026.136152 UR - https://doi.org/10.1016/j.biortech.2026.136152 ER -
APA
S, H., B, H., B, W., X, M., X, L., F, X., Z, H., Z, Z., & A, Z. (2026). Interpretable machine learning reveals dominant controls and operational windows for humic-associated phosphorus formation during aerobic composting.. Bioresource technology. https://doi.org/10.1016/j.biortech.2026.136152
Source records
- pubmed · retrieved 2026-11-08T11:27:01.210Z
- europe-pmc · retrieved 2026-11-08T11:27:01.232Z