Application of artificial intelligence algorithms and low-cost sensors to estimate respirable dust in the workplace

The Internet of Things (IoT) and low-cost sensor technology have become common tools for environmental exposure monitoring; however, their application in measuring respirable dust (RD) in the workplace remains limited. This study aimed to develop a predictive model for RD using artificial intelligen...

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Bibliographic Details

Published in:	Environment International
Main Authors:	Ta-Yuan Chang, Guan-Yu Chen, Jing-Jie Chen, Li-Hao Young, Li-Te Chang
Format:	Article
Language:	English
Published:	Elsevier 2023-12-01
Subjects:	Artificial intelligence Internet of things Low-cost sensor Random forest method Respirable dust
Online Access:	http://www.sciencedirect.com/science/article/pii/S0160412023005901