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

doi:10.1016/j.ecoinf.2022.101609

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 journal › Article › peer-review

9 Citations (SciVal)

Original language	English
Article number	101609
Journal	Ecological Informatics
Volume	69
DOIs	https://doi.org/10.1016/j.ecoinf.2022.101609
Publication status	Published (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.

Funders	Funder number
InnovateUK	104367, 10137
Engineering and Physical Sciences Research Council	EP/N509012/1

Keywords

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

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10.1016/j.ecoinf.2022.101609

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@article{3c073076ee1e4306825fd48e43be290f,

title = "A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways",

keywords = "Air quality prediction, Big data, Deep learning, Highway, Internet of things, Urban air pollution",

author = "Akinosho, \{Taofeek D.\} and Oyedele, \{Lukumon O.\} and Muhammad Bilal and Barrera-Animas, \{Ari Y.\} and Gbadamosi, \{Abdul Quayyum\} and Olawale, \{Oladimeji A.\}",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2022",

month = jul,

doi = "10.1016/j.ecoinf.2022.101609",

language = "English",

volume = "69",

journal = "Ecological Informatics",

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publisher = "Elsevier",

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T1 - A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways

AU - Akinosho, Taofeek D.

AU - Oyedele, Lukumon O.

AU - Bilal, Muhammad

AU - Barrera-Animas, Ari Y.

AU - Gbadamosi, Abdul Quayyum

AU - Olawale, Oladimeji A.

PY - 2022/7

Y1 - 2022/7

KW - Air quality prediction

KW - Big data

KW - Deep learning

KW - Highway

KW - Internet of things

KW - Urban air pollution

UR - https://www.scopus.com/pages/publications/85125942152

UR - https://www.scopus.com/inward/citedby.url?scp=85125942152&partnerID=8YFLogxK

U2 - 10.1016/j.ecoinf.2022.101609

DO - 10.1016/j.ecoinf.2022.101609

M3 - Article

AN - SCOPUS:85125942152

SN - 1574-9541

VL - 69

JO - Ecological Informatics

JF - Ecological Informatics

M1 - 101609

ER -

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

Funding

Keywords

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