QR код

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...

Повний опис

Збережено в:
Бібліографічні деталі
Автори: Ta-Yuan Chang, Guan-Yu Chen, Jing-Jie Chen, Li-Hao Young, Li-Te Chang
Формат: Artigo
Мова:Inglês
Опубліковано: Elsevier 2023-12-01
Серія:Environment International
Предмети:
Онлайн доступ:http://www.sciencedirect.com/science/article/pii/S0160412023005901
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!