A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways

  • Taofeek D. Akinosho*
  • , Lukumon O. Oyedele
  • , Muhammad Bilal
  • , Ari Y. Barrera-Animas
  • , Abdul Quayyum Gbadamosi
  • , Oladimeji A. Olawale
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    10 Citations (SciVal)
    Original languageEnglish
    Article number101609
    JournalEcological Informatics
    Volume69
    DOIs
    Publication statusPublished (VoR) - Jul 2022

    Funding

    The authors would like to express their sincere gratitude to InnovateUK (Grant Application No 10137 and File No 104367 ) and EPSRC (Grant Ref No EP/N509012/1 ) for providing the financial support for this study.

    FundersFunder number
    InnovateUK104367, 10137
    Engineering and Physical Sciences Research CouncilEP/N509012/1

      Keywords

      • Air quality prediction
      • Big data
      • Deep learning
      • Highway
      • Internet of things
      • Urban air pollution

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