Air Pollution Monitoring and Prediction

Rahman, Farzana (PI)
Hegde, Meg (Researcher)
Nebel, Jean-Christophe (CoI)
Zemour, Reem (Researcher)

Institute for Cyber, Engineering & Digital Technologies

Technocomm Consulting UK Ltd

Project: Research & KE

Description

Usage of AI to improve the accuracy of air pollution monitoring and predict air pollution levels

Short title	Air pollution
Status	Active
Effective start/end date	26/06/23 → …

Collaborative partners

Technocomm Consulting UK Ltd (Project partner)

Keywords

Air pollution
AI
Sensors

Access Project

Air pollution monitoring using cost-effective devices enhanced by machine learning
Colléaux, Y., Willaume, C., Mohandes, B., Nebel, J. C. & Rahman, F., 26 Feb 2025, In: Sensors. 25, 5, 1423.
Research output: Contribution to journal › Article › peer-review

Open Access
File
8 Downloads (Pure)
Cleaning up the Big Smoke: forecasting London's air pollution levels using energy-efficient AI
Hegde, M., Nebel, J.-C. & Rahman, F., 6 Jun 2024, In: International Journal of Environmental Pollution and Remediation. 12, p. 23-28
Research output: Contribution to journal › Article › peer-review

Open Access

Revolutionising air quality monitoring with affordable AI-powered sensors
Nebel, J.-C., Rahman, F. & Mohandes, B.
1/04/25
1 item of Media coverage
Press/Media
Affordable AI-powered air pollution sensors can revolutionise monitoring of air quality, research by Kingston University finds
Nebel, J.-C., Rahman, F. & Mohandes, B.
4/04/25
1 item of Media coverage
Press/Media
AI-based project provides accurate, real-time, hyper-local air quality data, says group behind it
Nebel, J.-C., Rahman, F. & Mohandes, B.
1/04/25
1 item of Media coverage
Press/Media