Performance and applicability of low-cost PM sensors to assess global pollution variability through machine learning techniques

Performance and applicability of low-cost PM sensors to assess global pollution variability through machine learning techniques

Air quality monitoring and analyses became easy and affordable due to emergence of low-cost sensors. Recently, the efforts to improve the monitoring and understanding of region-specific air pollution events attracted immense global attention. Nevertheless, the applicability issues were observed due...

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Bibliographic Details
Main Authors: Rajat Sharma, Andry Razakamanantsoa, Ashutosh Kumar, Thaseem Thajudeen, Agnès Jullien
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Atmospheric Environment: X
Subjects:
Low-cost PM sensors
Air quality monitoring
Performance index
Data reliability
Machine learning
Performance parameters
Online Access:http://www.sciencedirect.com/science/article/pii/S2590162125000218
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