Researchers developed a Riemannian-weighted filter bank framework that enhances multiclass motor imagery brain-computer interface classification, achieving an 81.83 percent ensemble accuracy on ...

A new contrastive-learning framework enables hyperspectral classification with few labels. It masks redundant spatial and spectral information, mixes samples into positive pairs, and separates spatial ...

In the paper, "Extended SLIC superpixels algorithm for applications to non-imagery geospatial rasters," published in the International Journal of Applied Earth Observation and Geoinformation, ...

Technologies for analyzing proteome, metabolome, transcriptome, and epigenome data at both spatial and single-cell levels have come a long way. Taken together, these methods provide a holistic view of ...