Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

The Trade-Adverse Trade Adviser: Once sidelined, President Trump’s counselor Peter Navarro has returned to Washington and ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. This new ...

Find example text on the Acknowledgement Page or the individual instrument pages. Fluorescence spectroscopy is a powerful, non-destructive technique widely used in biochemistry, biophysics, and ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

The combination of spectral data and spatial detail allows ... allows for the differentiation, display and classification of objects based on their chemical composition. One axis of the FPA ...