Prediction enhancement through data augmentation techniques in AI-ML modelling of H(2) production from biomass gasification in a two-stage reactor.
- DOI
- 10.1016/j.biortech.2026.135569
- Published
- 2026 Aug 5
- Container
- Bioresource technology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2026.135569,
title = {Prediction enhancement through data augmentation techniques in AI-ML modelling of H(2) production from biomass gasification in a two-stage reactor.},
author = {Karka S and Kamesh R},
year = {2026},
journal = {Bioresource technology},
doi = {10.1016/j.biortech.2026.135569},
url = {https://doi.org/10.1016/j.biortech.2026.135569}
}RIS
TY - JOUR TI - Prediction enhancement through data augmentation techniques in AI-ML modelling of H(2) production from biomass gasification in a two-stage reactor. AU - Karka S AU - Kamesh R PY - 2026 JO - Bioresource technology DO - 10.1016/j.biortech.2026.135569 UR - https://doi.org/10.1016/j.biortech.2026.135569 ER -
APA
S, K., & R, K. (2026). Prediction enhancement through data augmentation techniques in AI-ML modelling of H(2) production from biomass gasification in a two-stage reactor.. Bioresource technology. https://doi.org/10.1016/j.biortech.2026.135569
Source records
- pubmed · retrieved 2026-09-25T06:34:12.286Z