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Session
Presentation | A23I: Low-Cost Air Quality Sensors: Challenges, Opportunities, and Collaborative Strategies Across the World II Poster
Poster
[ONLINE] A23I-VR8758: Uncertainty-Aware Calibration of Low-Cost PM2.5 Sensors Using Deep Learning Approaches
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Schedule
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Credits
Tue, Dec 16
Online
2:15pm - 5:45pm (Central)
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Kaylee Smith
University of Michigan Ann Arbor
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Author(s):
Kaylee Smith
, University of Michigan Ann Arbor
(First Author, Presenting Author)
Anusha Malarvizhi
, George Mason University
Chaowei Phil Yang
, George Mason Univ.
View Abstract
Scientific Discipline
Atmospheric Sciences
Suggested Itineraries
Community and People-Powered Science
Environmental Justice
Machine Learning and AI
Open Science and Open Data
Neighborhood
Earth Covering
Type
Poster
Where to Watch
Online
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Main Session
Poster
A23I: Low-Cost Air Quality Sensors: Challenges, Opportunities, and Collaborative Strategies Across the World II Poster
2:15pm-5:45pm Dec 16 (Central)
Audrey Gaudel
Discussion
