Unified interpretable machine learning framework for predicting pellet quality from raw and thermochemically pretreated biomass.
- DOI
- 10.1016/j.biortech.2026.134909
- Published
- 2026 Sep
- Container
- Bioresource technology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2026.134909,
title = {Unified interpretable machine learning framework for predicting pellet quality from raw and thermochemically pretreated biomass.},
author = {Khan M and Gao X and Wong KW and Kudo S and Hayashi JI and Wu H},
year = {2026},
journal = {Bioresource technology},
doi = {10.1016/j.biortech.2026.134909},
url = {https://doi.org/10.1016/j.biortech.2026.134909}
}RIS
TY - JOUR TI - Unified interpretable machine learning framework for predicting pellet quality from raw and thermochemically pretreated biomass. AU - Khan M AU - Gao X AU - Wong KW AU - Kudo S AU - Hayashi JI AU - Wu H PY - 2026 JO - Bioresource technology DO - 10.1016/j.biortech.2026.134909 UR - https://doi.org/10.1016/j.biortech.2026.134909 ER -
APA
M, K., X, G., KW, W., S, K., JI, H., & H, W. (2026). Unified interpretable machine learning framework for predicting pellet quality from raw and thermochemically pretreated biomass.. Bioresource technology. https://doi.org/10.1016/j.biortech.2026.134909
Source records
- pubmed · retrieved 2026-09-27T09:55:13.348Z