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Author

Lanting Wang

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Open access Aug 2026

A robust framework integrating random standard deviation sampling with machine learning for volatile fatty acids prediction in Fe3O4-mediated high-load anaerobic fermentation.

Predicting volatile fatty acids (VFAs) in Fe3O4-mediated high-load anaerobic fermentation (AF) is hindered by stochastic uncertainty and intrinsic data scarcity. To bridge the gap between the lab-scale datasets and industrial prediction demands, this study established the RSDS-ML framework integrating random standard d...

Lanting Wang, Tengshuang Ma, Ling Deng et al. · 0 citations

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