Abstract: Model compression techniques are of great interest in spatio-temporal data analysis due to the increasing need for scalable and effective deep learning systems. In this study, we investigate ...

Hyperspectral imaging generates high-dimensional data with complex spatial-spectral correlations that pose significant dimensionality reduction challenges. Principal Component Analysis (PCA) flattens ...

Slippery covalently attached liquid surfaces are useful in many applications that require low-static friction to droplets. This review compares six prominent methods for preparing polydimethylsiloxane ...

February 5, 2026 • The federal agency for protecting workers' civil rights revealed Wednesday that it is investigating sportswear giant Nike for allegedly discriminating against white employees.