2 papers
cs.LG2026
Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics
Dário Passos
Convolutional neural networks (CNN) for near-infrared (NIR) chemometrics are often designed using generic architectural rules, although spectral datasets differ in sampling, smooth…
cs.LG2026
Convolutional Neural Networks in Vis-NIR Chemometrics: From Contradiction to Conditional Design
Dário Passos
Near-infrared (NIR and Vis-NIR) spectroscopy is widely used for rapid, non-destructive analysis in food, agriculture, pharmaceuticals, process analytical technology, and bioprocess…