Meta-tuning and fast optimization of machine learning models for dynamic methane prediction in anaerobic digestion.
- DOI
- 10.1016/j.biortech.2025.132654
- Published
- 2025 Sep
- Container
- Bioresource technology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2025.132654,
title = {Meta-tuning and fast optimization of machine learning models for dynamic methane prediction in anaerobic digestion.},
author = {Meola A and Wolf K and Weinrich S},
year = {2025},
journal = {Bioresource technology},
doi = {10.1016/j.biortech.2025.132654},
url = {https://doi.org/10.1016/j.biortech.2025.132654}
}RIS
TY - JOUR TI - Meta-tuning and fast optimization of machine learning models for dynamic methane prediction in anaerobic digestion. AU - Meola A AU - Wolf K AU - Weinrich S PY - 2025 JO - Bioresource technology DO - 10.1016/j.biortech.2025.132654 UR - https://doi.org/10.1016/j.biortech.2025.132654 ER -
APA
A, M., K, W., & S, W. (2025). Meta-tuning and fast optimization of machine learning models for dynamic methane prediction in anaerobic digestion.. Bioresource technology. https://doi.org/10.1016/j.biortech.2025.132654
Source records
- pubmed · retrieved 2026-09-25T21:57:35.892Z