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

As climate change accelerates, exploration firms and global miners face mounting pressure from two directions. On one side, ...

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

FREMONT, Calif., May 12, 2025 /PRNewswire/ -- Leopard Imaging Inc., a global innovator in intelligent vision solutions, is ...

The study’s neuroimaging analysis revealed distinct activation patterns associated with distraction. Using cortical ...

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

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 ...

A new machine learning algorithm excels at interpreting optical spectroscopy data of molecules, materials and disease ...

Brain tumors strike over 25,000 Americans annually with often subtle warning signs. Learn crucial facts about detection, ...

The Rice University solution is termed Peak-Sensitive Elastic-net Logistic Regression, or PSE-LR, a method tailored for spectral analysis. PSE-LR includes computational steps intended to more ...