A generalized hybrid machine learning framework for predicting biohydrogen production via dark fermentation of organic wastes.
- DOI
- 10.1007/s00449-025-03255-w
- Published
- 2026 Feb
- Container
- Bioprocess and biosystems engineering
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s00449-025-03255-w,
title = {A generalized hybrid machine learning framework for predicting biohydrogen production via dark fermentation of organic wastes.},
author = {Mougari NE and Ghersi DE and Iachachene F and Largeau JF and Arici M},
year = {2026},
journal = {Bioprocess and biosystems engineering},
doi = {10.1007/s00449-025-03255-w},
url = {https://doi.org/10.1007/s00449-025-03255-w}
}RIS
TY - JOUR TI - A generalized hybrid machine learning framework for predicting biohydrogen production via dark fermentation of organic wastes. AU - Mougari NE AU - Ghersi DE AU - Iachachene F AU - Largeau JF AU - Arici M PY - 2026 JO - Bioprocess and biosystems engineering DO - 10.1007/s00449-025-03255-w UR - https://doi.org/10.1007/s00449-025-03255-w ER -
APA
NE, M., DE, G., F, I., JF, L., & M, A. (2026). A generalized hybrid machine learning framework for predicting biohydrogen production via dark fermentation of organic wastes.. Bioprocess and biosystems engineering. https://doi.org/10.1007/s00449-025-03255-w
Source records
- pubmed · retrieved 2026-09-26T20:36:22.586Z
- europe-pmc · retrieved 2026-09-26T20:36:22.616Z
- hal · retrieved 2026-09-26T20:36:22.624Z