Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning

Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning

Monitoring indoor air quality in schools is essential, particularly as children are highly vulnerable to air pollution. This study evaluates the performance of the low-cost sensor-based air quality monitoring system ENSENSIA, during a 3-week campaign in an elementary school classroom in Athens, Gree...

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Bibliographic Details
Main Authors: Ioannis D. Apostolopoulos, Eleni Dovrou, Silas Androulakis, Katerina Seitanidi, Maria P. Georgopoulou, Angeliki Matrali, Georgia Argyropoulou, Christos Kaltsonoudis, George Fouskas, Spyros N. Pandis
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Chemosensors
Subjects:
low-cost sensors
indoor air quality
machine learning
calibration
Online Access:https://www.mdpi.com/2227-9040/13/4/148
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