Cleaning up the Big Smoke: forecasting London's air pollution levels using energy-efficient AI

Megha Hegde; Jean-Christophe Nebel; Farzana Rahman

doi:10.11159/ijepr.2024.003

Cleaning up the Big Smoke: forecasting London's air pollution levels using energy-efficient AI

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	23-28
Journal	International Journal of Environmental Pollution and Remediation
Volume	12
DOIs	https://doi.org/10.11159/ijepr.2024.003
Publication status	Published - 6 Jun 2024

Keywords

Computer science and informatics

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10.11159/ijepr.2024.003

https://doi.org/10.11159/ijepr.2024.003

Air Pollution Monitoring and Prediction
Rahman, F. (PI), Hegde, M. (Researcher), Nebel, J.-C. (CoI) & Zemour, R. (Researcher)
26/06/23 → …
Project: Research & KE

Cite this

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title = "Cleaning up the Big Smoke: forecasting London's air pollution levels using energy-efficient AI",

keywords = "Computer science and informatics",

author = "Megha Hegde and Jean-Christophe Nebel and Farzana Rahman",

year = "2024",

month = jun,

day = "6",

doi = "10.11159/ijepr.2024.003",

language = "English",

volume = "12",

pages = "23--28",

journal = "International Journal of Environmental Pollution and Remediation",

issn = "1929-2732",

publisher = "Avestia",

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TY - JOUR

T1 - Cleaning up the Big Smoke

T2 - forecasting London's air pollution levels using energy-efficient AI

AU - Hegde, Megha

AU - Nebel, Jean-Christophe

AU - Rahman, Farzana

PY - 2024/6/6

Y1 - 2024/6/6

KW - Computer science and informatics

U2 - 10.11159/ijepr.2024.003

DO - 10.11159/ijepr.2024.003

M3 - Article

SN - 1929-2732

VL - 12

SP - 23

EP - 28

JO - International Journal of Environmental Pollution and Remediation

JF - International Journal of Environmental Pollution and Remediation

ER -

Cleaning up the Big Smoke: forecasting London's air pollution levels using energy-efficient AI

Keywords

Access to Document

Projects

Air Pollution Monitoring and Prediction

Cite this