Abstract: In this paper, we deal with the problem of estimating the disturbance covariance matrix for radar signal processing applications, when a limited number of training data is present. We ...
Artificial intelligence is hijacking our brains. Discover how the digital shortcuts we use impact our decision-making, and ...
The expanding interest in small bioactive peptides has brought renewed attention to glycyl-L-histidyl-L-lysine bound to ...
Abstract: As one type of important seismic geometric attributes, the seismic volumetric dip is extensively used to assist interpretation of horizons, faults, and other geologic structures in 3-D ...
The shape of biological structures, ranging from flower petals to the limbs or organs of animals, is often naturally best ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...