CNN-Mosquito-Detection

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上 传 者sh-1993
说明:  美国国家航空航天局SEES(2021):美国有线电视新闻网蚊子探测研究
(NASA SEES (2021): CNN Mosquito Detection Research)

文件列表:
CNN Training (0, 2022-03-27)
CNN Training\YOLOR (0, 2022-03-27)
CNN Training\YOLOR\(Version-1)-YOLOR.ipynb (133, 2022-03-27)
CNN Training\YOLOR\(Version-2)-YOLOR.ipynb (133, 2022-03-27)
CNN Training\YOLOV4 (0, 2022-03-27)
CNN Training\YOLOV4\(Version-1)-YOLOv4.ipynb (134, 2022-03-27)
CNN Training\YOLOV4\(Version-2)-YOLOv4.ipynb (134, 2022-03-27)
CNN Training\YOLOv5 (0, 2022-03-27)
CNN Training\YOLOv5\(Version-1)-YOLOv5.ipynb (134, 2022-03-27)
CNN Training\YOLOv5\(Version-2)-YOLOv5.ipynb (133, 2022-03-27)
Figures (0, 2022-03-27)
Figures\Figure 1.png (131, 2022-03-27)
Figures\Figure 10.png (131, 2022-03-27)
Figures\Figure 11.png (132, 2022-03-27)
Figures\Figure 2.png (131, 2022-03-27)
Figures\Figure 3.png (131, 2022-03-27)
Figures\Figure 4.png (132, 2022-03-27)
Figures\Figure 5.png (131, 2022-03-27)
Figures\Figure 6.png (132, 2022-03-27)
Figures\Figure 7.png (131, 2022-03-27)
Figures\Figure 8.png (132, 2022-03-27)
Figures\Figure 9.png (131, 2022-03-27)
Figures\Table 1.png (130, 2022-03-27)
Figures\Table 2.png (130, 2022-03-27)
Figures\Table 3.png (130, 2022-03-27)
mosquito-habitat-dataset.darknet (0, 2022-03-27)
mosquito-habitat-dataset.darknet\test (0, 2022-03-27)
mosquito-habitat-dataset.darknet\test\Screen-Shot-2021-07-17-at-2-28-51-PM_png.rf.3c1011146dc86196b1f7299f7e84afd4.jpg (131, 2022-03-27)
mosquito-habitat-dataset.darknet\test\Screen-Shot-2021-07-17-at-2-28-51-PM_png.rf.3c1011146dc86196b1f7299f7e84afd4.txt (0, 2022-03-27)
mosquito-habitat-dataset.darknet\test\Screen-Shot-2021-07-17-at-2-29-22-PM_png.rf.523506e39f8ca99c7f17f38b2e9e6365.jpg (131, 2022-03-27)
mosquito-habitat-dataset.darknet\test\Screen-Shot-2021-07-17-at-2-29-22-PM_png.rf.523506e39f8ca99c7f17f38b2e9e6365.txt (0, 2022-03-27)
mosquito-habitat-dataset.darknet\test\Screen-Shot-2021-07-17-at-4-32-15-PM_png.rf.466750b65505e2f314850b086eb8c2bd.jpg (131, 2022-03-27)
mosquito-habitat-dataset.darknet\test\Screen-Shot-2021-07-17-at-4-32-15-PM_png.rf.466750b65505e2f314850b086eb8c2bd.txt (44, 2022-03-27)
mosquito-habitat-dataset.darknet\test\Screen-Shot-2021-07-17-at-4-33-16-PM_png.rf.0d27580bc359a5a425b4ea448a45b71e.jpg (131, 2022-03-27)
mosquito-habitat-dataset.darknet\test\Screen-Shot-2021-07-17-at-4-33-16-PM_png.rf.0d27580bc359a5a425b4ea448a45b71e.txt (317, 2022-03-27)
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# CNN-Mosquito-Detection _CNN Mosquito Habitat Detection Research_ **Title:** Autonomous Mosquito Habitat Detection using Satellite Imagery and Convolutional Nueral Networks for Disease Risk Mapping **Researchers:** Sriram Elango, Nandini Ramachandran **Data Collection:** Data collected between 6/21 - 8/21 from variety of geographic regions **Summary:** This research presents an evalutaion of multiple CNN models that aim to autonomously predict the presence of mosquito habitats by running inference on readily available satellite imagery. By determining the locations of potentially dangerous breeding grounds, we can aid in the prevention of the global transmission of mosquito borne vector diseases. **DOI Poster:** https://doi.org/10.1002/essoar.10508221.1 **DOI Preprint:** https://arxiv.org/abs/2203.04463 Presented at AGU Fall Meeting 2021 Conference: https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/917272

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