Data Anomaly Detection and Sediment Yield Estimation in the US Army Corps of Engineers' Reservoir Sedimentation Information (RSI) Database
The summary for the Data Anomaly Detection and Sediment Yield Estimation in the US Army Corps of Engineers' Reservoir Sedimentation Information (RSI) Database grant is detailed below.
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Data Anomaly Detection and Sediment Yield Estimation in the US Army Corps of Engineers' Reservoir Sedimentation Information (RSI) Database: The primary objective is to develop a method to identify erroneous data within the RSI system. Ideally, the investigator(s) will utilize machine learning algorithms to identify anomalies within the dataset. A secondary goal of the study is to use the RSI data, with supplementary data from other available data sources, to develop a machine-learning approach to estimate sedimentation rates. Research tasks should include: identifying appropriate supplemental data from other data sources; 2) identify any patterns and trends in the RSI data; 3) develop a machine-learning method to identify anomalies within the RSI data based on the composite dataset; and 4) develop a machine-learning method for estimating reservoir sedimentation rates.
Federal Grant Title: | Data Anomaly Detection and Sediment Yield Estimation in the US Army Corps of Engineers' Reservoir Sedimentation Information (RSI) Database |
Federal Agency Name: | Dept of the Army Corps of Engineers (DOD-COE) |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | W81EWF-20-SOI-0025 |
Type of Funding: | Cooperative Agreement |
CFDA Numbers: | 12.630 |
CFDA Descriptions: | Information not provided |
Current Application Deadline: | August 24th, 2020 |
Original Application Deadline: | August 24th, 2020 |
Posted Date: | June 22nd, 2020 |
Creation Date: | June 22nd, 2020 |
Archive Date: | September 23rd, 2020 |
Total Program Funding: | |
Maximum Federal Grant Award: | $40,000 |
Minimum Federal Grant Award: | $0 |
Expected Number of Awards: | 1 |
Cost Sharing or Matching: | No |
Last Updated: | August 10th, 2020 |
- Applicants Eligible for this Grant
- Others (see text field entitled "Additional Information on Eligibility" for clarification.)
- Additional Information on Eligibility
- This opportunity is restricted to non-federal partners of the Great Rivers Cooperative Ecosystems Studies Unit (CESU)
- Grant Announcement Contact
- Chelsea M Whitten
Grants Officer
Phone 601-634-4679
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