"In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk ..."

Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-05-12

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2105-02406
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2105-02406
Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao:
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery. CoRR abs/2105.02406 (2021)

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