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.
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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.
Federal Grant Title: | Machine learning methods application for analyzing hydro-acoustic telemetry data |
Federal Agency Name: | Geological Survey (DOI-USGS1) |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | USGS18FA0158 |
Type of Funding: | Cooperative Agreement |
CFDA Numbers: | 15.808 |
CFDA Descriptions: | Information not provided |
Current Application Deadline: | June 15th, 2018 |
Original Application Deadline: | June 15th, 2018 |
Posted Date: | June 1st, 2018 |
Creation Date: | June 1st, 2018 |
Archive Date: | July 15th, 2018 |
Total Program Funding: | $49,296 |
Maximum Federal Grant Award: | $49,296 |
Minimum Federal Grant Award: | $49,296 |
Expected Number of Awards: | 1 |
Cost Sharing or Matching: | No |
Last Updated: | May 31st, 2018 |
- Applicants Eligible for this Grant
- Private institutions of higher education
- Grant Announcement Contact
- Desiree Santa
Grant Specialist
Phone 703-648-7382
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