Type
Funder
Country
—
Documents
14
through any edge
Papers
0
authorship edges
Awards made
11
7 grant numbers
Named as funder
14
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What National Forestry and Grassland Administration has funded
11 awards under 7 distinct grant numbers, across 8 documents. A further 14 documents name it as a funder without a grant number — a weaker claim, counted separately.
Data Loss and Reconstruction of Location Differential Privacy Protection Based on Edge Computinggrant 201504307 · 2019-01-01Identification of Rare Wildlife in the Field Environment Based on the Improved YOLOv5 Modelgrant 202303 · 2024-04-26An Application of Ternary Hash Retrieval Method for Remote Sensing Images in Panoramic Videogrant 201504307 · 2020-01-01Intelligent Detection Method for Wildlife Based on Deep Learninggrant 202303 · 2023-12-07Animal Detection and Classification from Camera Trap Images Using Different Mainstream Object Detection Architecturesgrant (2017) · 2022-08-04Animal Detection and Classification from Camera Trap Images Using Different Mainstream Object Detection Architecturesgrant 2019FY101700 · 2022-08-04Animal Detection and Classification from Camera Trap Images Using Different Mainstream Object Detection Architecturesgrant 31670537 · 2022-08-04Animal Detection and Classification from Camera Trap Images Using Different Mainstream Object Detection Architecturesgrant BNUXKJC2118 · 2022-08-04Monitoring Endangered and Rare Wildlife in the Field: A Foundation Deep Learning Model Integrating Human Knowledge for Incremental Recognition with Few Data and Low Costgrant 202303 · 2023-10-10Wildlife Real-Time Detection in Complex Forest Scenes Based on YOLOv5s Deep Learning Networkgrant 202303 · 2024-04-11
10 of 25 funding edges