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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.
Funding Opportunity Number: W81EWF-20-SOI-0025. Assistance Listing: 12.630. Funding Instrument: CA. Category: ST. Award Amount: Up to $40K per award.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants: Others (see text field entitled Additional Information on Eligibility for clarification). This opportunity is restricted to non-federal partners of the Great Rivers Cooperative Ecosystems Studies Unit (CESU). Confirm the full requirements in the official notice before applying.
The current listing shows up to $40K per award. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was August 24, 2020, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Yes — Data Anomaly Detection and Sediment Yield Estimation in the US Army Corps of Engineers’ Reservoir Sedimentation Information (RSI) Database is offered by Dept. of the Army -- Corps of Engineers and this listing comes from Grants.gov, an official U.S. federal source. Federal applications generally require registrations (for example SAM.gov or an agency submission portal), so allow extra lead time.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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