Cooperative Agreement for CESU-affiliated Partner with Chesapeake Cooperative Ecosystem Studies Unit
Sector: Government • Location: United States of America
Source: Grants.gov
The US Geological Survey, Eastern Ecological Science Center (EESC) is offering a funding opportunity to a CESU partner for research in developing deep convolutional neural networks for image-based individual fish recognition, develop baseline Artificial Intelligence (hereafter, AI) models for individual recognition, and determining the performance of AI models. Research Scientists at the EESC hav
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The US Geological Survey, Eastern Ecological Science Center (EESC) is offering a funding opportunity to a CESU partner for research in developing deep convolutional neural networks for image-based individual fish recognition, develop baseline Artificial Intelligence (hereafter, AI) models for individual recognition, and determining the performance of AI models. Research Scientists at the EESC have a wealth of knowledge specific to ongoing studies that are using AI to identify fish in freshwater streams and develop early detection of diseased fish. This research will advance our understanding by linking developing methods in computer science with ecological science. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |