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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...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Ta-Yuan Chang, Guan-Yu Chen, Jing-Jie Chen, Li-Hao Young, Li-Te Chang
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Elsevier 2023-12-01
Rangatū:Environment International
Ngā marau:
Urunga tuihono:http://www.sciencedirect.com/science/article/pii/S0160412023005901
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