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An Internet of Things System for Underground Mine Air Quality Pollutant Prediction Based on Azure Machine Learning
The implementation of wireless sensor networks (WSNs) for monitoring the complex, dynamic, and harsh environment of underground coal mines (UCMs) is sought around the world to enhance safety. However, previously developed smart systems are limited to monitoring or, in a few cases, can report events....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948816/ https://www.ncbi.nlm.nih.gov/pubmed/29561777 http://dx.doi.org/10.3390/s18040930 |