Overall, the proposed method is highly significant for calibrating the air temperature measurements made by low-cost sensors in various practical scenarios, improving data quality, and promoting confidence in the application and scalability of low-cost sensors.
← all excerpts
Calibration of Integrated Low-Cost Environmental Sensors for Urban Air Temperature Based on Machine Learning.
1
—
—