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

  • T.D. Akinosho
  • , L.O. Oyedele
  • , M. Bilal
  • , A.Y. Barrera-Animas
  • , A.-Q. Gbadamosi
  • , O.A. Olawale

Research output: Contribution to journal › Article › peer-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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