Published 2024 | Version v1
Publication Open

Two-Stage Feature Engineering to Predict Air Pollutants in Urban Areas

  • 1. School of Electronics, Electrical Engineering and Computer Science, Queen's University
  • 2. School of Engineering, Ulster University
  • 3. Thuyloi University, Hanoi, Vietnam
  • 4. ROR icon Norwegian Institute for Air Research
  • 5. Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University
  • 6. Faculty of Engineering and Applied Science, Memorial University of Newfoundland
  • 1. School of Electronics, Electrical Engineering and Computer Science, Queen's University
  • 2. School of Engineering, Ulster University
  • 3. Thuyloi University
  • 4. ROR icon Norwegian Institute for Air Research
  • 5. Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University
  • 6. Faculty of Engineering and Applied Science, Memorial University of Newfoundland

Files

Two-Stage_Feature_Engineering_to_Predict_Air_Pollutants_in_Urban_Areas.pdf

Additional details

Funding

UK Research and Innovation
Autonomous Multi-Format In-Situ Observation Platform for Atmospheric Carbon Dioxide and Methane Monitoring in Permafrost & Wetlands (MISO) 10061165

Dates

Accepted
2024