Deep Learning in Airborne Particulate Matter Sensing and Surface Plasmon Resonance for Environmental Monitoring

Deep Learning in Airborne Particulate Matter Sensing and Surface Plasmon Resonance for Environmental Monitoring

This review explores advanced sensing technologies and deep learning (DL) methodologies for monitoring airborne particulate matter (PM), which is critical for environmental health assessments. It begins with discussing the significance of PM monitoring and introduces surface plasmon resonance (SPR)...

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Bibliographic Details
Main Authors:	Balendra V. S. Chauhan, Sneha Verma, B. M. Azizur Rahman, Kevin P. Wyche
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Atmosphere
Subjects:	surface plasmon resonance (SPR) particulate matter (PM) sensors machine learning (ML) deep learning (DL) artificial intelligence (AI)
Online Access:	https://www.mdpi.com/2073-4433/16/4/359
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