HIGHLIGHTS
- who: Edwin Villanueva et al. from the Engineering Department, Pontificia Universidad Catu00f3lica del Peru00fa, Universitaria Av, San Miguel have published the research work: Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors, in the Journal: Sensors 2023, 23, 3776. of 24/Nov/2021
- what: The authors propose machine-learning-based approaches to generate calibration models for new (PM) leveraging available field data and models from existing to facilitate rapid incorporation of the candidate sensor into the network and ensure the quality of its data. Most of the works on sensor calibration for air quality . . .
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