Explainable machine learning for simultaneous energy–effluent prediction and operational state classification in a modified sequencing batch reactor
- DOI
- 10.1016/j.biortech.2026.135790
- Published
- 2027-01
- Container
- Bioresource Technology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2026.135790,
title = {Explainable machine learning for simultaneous energy–effluent prediction and operational state classification in a modified sequencing batch reactor},
author = {Bernard Lassimo Diawara and Zhihua Xu and Shuai Yang and Haiping Cong and Xin Wang and Mohamed Yateh and Youwei Long and Ricardo Domingos Manuel Ferro and Wangyang Chen and Yulin Tang},
year = {2027},
journal = {Bioresource Technology},
doi = {10.1016/j.biortech.2026.135790},
url = {https://doi.org/10.1016/j.biortech.2026.135790}
}RIS
TY - JOUR TI - Explainable machine learning for simultaneous energy–effluent prediction and operational state classification in a modified sequencing batch reactor AU - Bernard Lassimo Diawara AU - Zhihua Xu AU - Shuai Yang AU - Haiping Cong AU - Xin Wang AU - Mohamed Yateh AU - Youwei Long AU - Ricardo Domingos Manuel Ferro AU - Wangyang Chen AU - Yulin Tang PY - 2027 JO - Bioresource Technology DO - 10.1016/j.biortech.2026.135790 UR - https://doi.org/10.1016/j.biortech.2026.135790 ER -
APA
Diawara, B. L., Xu, Z., Yang, S., Cong, H., Wang, X., Yateh, M., Long, Y., Ferro, R. D. M., Chen, W., & Tang, Y. (2027). Explainable machine learning for simultaneous energy–effluent prediction and operational state classification in a modified sequencing batch reactor. Bioresource Technology. https://doi.org/10.1016/j.biortech.2026.135790
Source records
- crossref · retrieved 2026-09-26T22:42:05.451Z