Machine learning modeling for thermochemical biohydrogen production from biomass
This paper outlines the steps for applying machine learning (ML) models to predict biohydrogen yields from biomass using thermochemical treatments. Input features include elemental compositions and thermochemical process parameters, while outputs are biohydrogen yields reported in existing studies....
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Next Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949821X25001401 |
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