Machine learning methods application for analyzing hydro-acoustic telemetry data

Archived

Geological Survey

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Description

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.

Who can apply

  • Private institutions of higher education

Contact

Desiree Santa <br/>Grant Specialist <br/>Phone 703-648-7382
dsanta@usgs.gov

Key dates & funding
  • PostedJun 1, 2018
  • ClosesJun 15, 2018
  • Award floor$49,296
  • Award ceiling$49,296
  • Program funding$49,296
  • Expected awards1
  • CFDA15.808
Categories
Science and Technology and other Research and Development

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