HIGHLIGHTS
- What: The study aims to investigate the low-cost PM sensor`s performance under various outdoor ambient circumstances and_(2) evaluate seven machine_learning calibration methods, which include decision trees, gradient-boosted trees, linear regression, nearest neighbors, neural_networks, random forests, and the Gaussian Process. The results showed that when the authors installed two low-cost sensors for two days in Phuket and six days in Nakhon Si Thammarat, the data obtained were adequate for investigating the objectives of this study.
- Who: asus from the Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Lampang . . .
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