Limits and benefits of unsupervised transfer learning for Raman spectroscopy-based bioprocess monitoring
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Reliable analyte prediction from Raman spectra is critical for bioprocess monitoring, yet spectral variability across domains, such as different media or scale-up conditions, challenges model generalization. Models for analyte prediction are typically trained ... ...
