Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

A new review in the Journal of Materials Science maps how machine learning, from graph neural networks to large language models, is accelerating the design of high-entropy alloy catalysts across vast ...

Machine learning is a mechanism where computers learn patterns from data instead of humans writing instructions step by step.

High-precision Global Navigation Satellite System (GNSS) positioning depends on successful carrier-phase ambiguity resolution, but this remains ...