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Luke Oman

NASA

Marshall Space Flight Center

Huntsville , AL 35812

United States

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Scholarly Papers (1)

1.

Knowledge-Informed Deep Learning to Mitigate Bias in Joint Air Pollutant Prediction

Number of pages: 22 Posted: 05 Jun 2025
University of Southern California, University of Southern California, Sonoma Technology, Sonoma Technology, University of California, Irvine - Department of Environmental and Occupational Health, University of Southern California, University of Southern California, University of Southern California - Department of Population and Public Health Sciences, University of California, Los Angeles (UCLA) - Department of Environmental Health Sciences, NASA, University of Southern California - Department of Population and Public Health Sciences, University of Southern California - Department of Population and Public Health Sciences, University of Southern California - Department of Population and Public Health Sciences, University of Southern California - Department of Population and Public Health Sciences and University of Southern California - Department of Population and Public Health Sciences
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Abstract:

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Deep learning, physics-informed modeling, Air pollution, knowledge infusion, bias mitigation, joint prediction