  Goals of this research phase is to investigate advanced detection and
classification pardims useful for data-mining passive large passive acoustic
archives. Technical objectives are to develop and refine a High Performance
Computing, Acoustic Data Accelerator (HPC-ADA) along with MATLAB based software
based on time series acoustic signal Detection cLassification using Machine
learning Algorithms, called DeLMA. Data scientists and biologists integrate to
use the HPC-ADA and DeLMA technologies to explore data using newly developed
techniques aimed at inspection of data extracted at large spatial and temporal
scales.
