Intelligent material recognition in traditional Chinese painting images is vital for digital cultural heritage preservation. However, existing methods struggle with limited samples and weak feature ...

For over 100 years, physicists, chemists, and materials scientists have developed extensive theoretical and experimental machinery to predict and characterize the electronic properties of magnetic ...

When performing material identification from hyperspectral images, a common challenge is the mixing of spectral signals at boundaries between materials. This study investigates spectral unmixing as a ...

Separating heavy product from light has never been easier, thanks to General Kinematics’ DE-STONER ® Air Classifier. The DE-STONER ® uses an air classification system that makes it uniquely adaptable ...