Machine learning methods application for analyzing hydro-acoustic telemetry data

The summary for the Machine learning methods application for analyzing hydro-acoustic telemetry data grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Geological Survey, which is the U.S. government agency offering this grant.

Machine learning methods application for analyzing hydro-acoustic telemetry data: The intent of the project is to identify machine learning methods and to implement these methods in a Python software package that will allow scientists to process telemetry data rapidly. BYU is proposing to develop high-throughput computing using computational techniques for processing these data sets. The processing software will result in timely delivery of results to resource managers.