Artificial Intelligence-Assisted FT-IR Spectral Sensing: From Molecular Fingerprints to Quantitative and Interpretable Chemical Information
Overall, AI can extend FT-IR from qualitative fingerprinting to quantitative and predictive spectral sensing, provided that future studies emphasize method-centered validation, reproducibility, transferability, and chemically meaningful explanation rather than relying solely on classification accuracy and regression er...
Doyeon Im, Kyung Hwan Lim, Gayoung Seo et al.
· Chemosensors · 0 citations