A robust framework integrating random standard deviation sampling with machine learning for volatile fatty acids prediction in Fe(3)O(4)-mediated high-load anaerobic fermentation.

Wang L, Ma T, Deng L, Xu L, Yuan T, Gao X, Fang J

Open source

DOI
10.1016/j.biortech.2026.135660
Published
2026 Aug 17
Container
Bioresource technology
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.biortech.2026.135660,
  title = {A robust framework integrating random standard deviation sampling with machine learning for volatile fatty acids prediction in Fe(3)O(4)-mediated high-load anaerobic fermentation.},
  author = {Wang L and Ma T and Deng L and Xu L and Yuan T and Gao X and Fang J},
  year = {2026},
  journal = {Bioresource technology},
  doi = {10.1016/j.biortech.2026.135660},
  url = {https://doi.org/10.1016/j.biortech.2026.135660}
}

RIS

TY  - JOUR
TI  - A robust framework integrating random standard deviation sampling with machine learning for volatile fatty acids prediction in Fe(3)O(4)-mediated high-load anaerobic fermentation.
AU  - Wang L
AU  - Ma T
AU  - Deng L
AU  - Xu L
AU  - Yuan T
AU  - Gao X
AU  - Fang J
PY  - 2026
JO  - Bioresource technology
DO  - 10.1016/j.biortech.2026.135660
UR  - https://doi.org/10.1016/j.biortech.2026.135660
ER  - 

APA

L, W., T, M., L, D., L, X., T, Y., X, G., & J, F. (2026). A robust framework integrating random standard deviation sampling with machine learning for volatile fatty acids prediction in Fe(3)O(4)-mediated high-load anaerobic fermentation.. Bioresource technology. https://doi.org/10.1016/j.biortech.2026.135660

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