Machine learning (ML) is increasingly used to support biomass valorization for energy and fuels by linking feedstock properties, process conditions, and product outcomes. However, current studies differ substantially in feature definition, algorithm selection, validation design, uncertainty treatment, and the use of...
Yi-Tong Niu, Ting Han, Chee Keong Lee et al.· Energy & Fuels· 0 citations
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