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Research and Innovation
Published June 30, 2023 | Version v1
Journal article Open

Forecasting PM10 Levels Using Machine Learning Models in the Arctic: A Comparative Study

Authors/Creators

  • 1. ROR icon Institute for Complex Systems

Contributors

Work package leader:

  • 1. ROR icon Institute for Complex Systems
  • 2. ROR icon Institute of Atmospheric Pollution Research
  • 3. ROR icon Joint Research Centre
  • 4. Department of Engineering, ICT and Technology for Energy and Transport, Rome

Description

Research paper

Files

Fazzini 2023.pdf

Files (2.3 MB)

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Additional details

Funding

European Commission
Arctic PASSION - Pan-Arctic observing System of Systems: Implementing Observations for societal Needs 101003472

Dates

Accepted
2023-06-30

Software

Repository URL
https://github.com/pfaz69/ForecastPM
Programming language
Python