Abstract: Principal Component Analysis (PCA) is a workhorse of modern data science. While PCA assumes the data conforms to Euclidean geometry, for specific data types, such as hierarchical and cyclic ...
Background: The Phonological Components Analysis (PCA) treatment for naming deficits in aphasia has been shown by us and others to be efficacious (Leonard et al., 2015; Leonard et al., 2008; van Hees ...
Abstract: Optical frequency-domain reflectometry (OFDR) has extensive application prospects in structural health monitoring, but faces technical challenges in simultaneously achieving the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results