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 ...

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

ABSTRACT Classifications are given for 26 northern stars noted in an inspection of 33 Burrell Schmidt objective‐prism plates. Most are believed to possess peculiar spectra that have not previously ...

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

Rice researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially ...

Existing telescopes with moderate aperture can help address this deficit when equipped with spectrographs optimized for spectral classification. Here, we provide an overview of the design, operations ...