VerdaML: an explainable ensemble machine learning framework with AI-driven interactive decision support system for biomass yield optimisation and Nitrogen-Stress Risk Classification in verrucodesmus verrucosus photobioreactors.
- DOI
- 10.3389/fbioe.2026.1906898
- Published
- 2026
- Container
- Frontiers in bioengineering and biotechnology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fbioe.2026.1906898,
title = {VerdaML: an explainable ensemble machine learning framework with AI-driven interactive decision support system for biomass yield optimisation and Nitrogen-Stress Risk Classification in verrucodesmus verrucosus photobioreactors.},
author = {Chauhan R and Sarfi Z and Soni E and Gaur VK and Zuhairi M},
year = {2026},
journal = {Frontiers in bioengineering and biotechnology},
doi = {10.3389/fbioe.2026.1906898},
url = {https://doi.org/10.3389/fbioe.2026.1906898}
}RIS
TY - JOUR TI - VerdaML: an explainable ensemble machine learning framework with AI-driven interactive decision support system for biomass yield optimisation and Nitrogen-Stress Risk Classification in verrucodesmus verrucosus photobioreactors. AU - Chauhan R AU - Sarfi Z AU - Soni E AU - Gaur VK AU - Zuhairi M PY - 2026 JO - Frontiers in bioengineering and biotechnology DO - 10.3389/fbioe.2026.1906898 UR - https://doi.org/10.3389/fbioe.2026.1906898 ER -
APA
R, C., Z, S., E, S., VK, G., & M, Z. (2026). VerdaML: an explainable ensemble machine learning framework with AI-driven interactive decision support system for biomass yield optimisation and Nitrogen-Stress Risk Classification in verrucodesmus verrucosus photobioreactors.. Frontiers in bioengineering and biotechnology. https://doi.org/10.3389/fbioe.2026.1906898