Leveraging low-cost sensors and machine learning for air quality insights in an urban location of Zimbabwe: A case study

Development of Low-Cost Sensors for Urban Air Quality Monitoring in Seychelles: A Longitudinal Study

This study addresses a current research gap in Physics concerning Development of Low-Cost S

Development of Low-Cost Sensors for Urban Air Quality Monitoring in Mali

This study addresses a current research gap in Physics concerning Development of Low-Cost S

Applying machine learning for large scale field calibration of low-cost PM2.5 andPM10 air pollution sensors

Applying machine learning for large scale field calibration of low-cost PM2.5 andPM10 air pollution sensors

Poster presented at the Deep Learning Indaba 2023 by Richard Sserunjogi

ASSESSMENT OF AIR QUALITY CONDITIONS IN AN AREA IN THE GULF OF GUINEA, IBADAN, USING LOW-COST SENSORS

Air quality monitoring is essential for the determination of the potential negative impacts of air p

MOPGA/Improving Air Quality in West Africa: Low-cost sensors as a solution to improve the understanding of spatial and temporal variability in urban air pollution

<p>This study was carried out within the framework of the Improving Air Quality in Wes

Machine learning for air quality forecasting: Insights from five provinces of Rwanda