Spectral methods are very efficient numerical algorithms for solving partial differential equations in relatively simple geometries. The numerical errors introduced by spectral algorithms typically ...

Combining hyperspectral imaging and AI, this research identifies oxidative stress in red blood cells, paving the way for ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...