Gas concentration prediction in photoacoustic spectroscopy using PSO-EAP-CNN to address correlation degradation

Photoacoustic spectroscopy (PAS) gas detection is frequently compromised by noise-induced correlation degradation, which significantly impacts measurement accuracy. To mitigate this issue, an advanced convolutional neural network (CNN) architecture, termed PSO-EAP-CNN, is proposed, which combines pa...

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Bibliographic Details
Main Authors:	Zhanshang Su, Pengpeng Wang, Zhengzhuo Li, Yawen Li, Tianxiang Zhao, Yujie Duan, Fupeng Wang, Cunguang Zhu
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Series:	Photoacoustics
Subjects:	Photoacoustic spectroscopy Particle swarm optimization Convolutional neural network Ensemble augmented prediction
Online Access:	http://www.sciencedirect.com/science/article/pii/S2213597925000400
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Gas concentration prediction in photoacoustic spectroscopy using PSO-EAP-CNN to address correlation degradation

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