Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations

Author:

Casari Martina,Kowalski Piotr A.,Po Laura

Publisher

Elsevier BV

Reference88 articles.

1. Applying machine learning for large scale field calibration of low-cost pm2.5 and pm10 air pollution sensors;Adong;Appl. AI Lett.,2022

2. Air quality assessment using a weighted fuzzy inference system;Ángel Olvera-García;Eco. Inform.,2016

3. AQ-SPEC,. Aiq quality sensor performance evaluation center. https://www.aqmd.gov/aq-spec/evaluations/criteria-pollutants/field. Accessed: July 13, 2024.

4. Arpa-Piemonte,. Torino rubino - reference station. http://www.sistemapiemonte.it/ambiente/srqa/stazioni/pdf/226.pdf. Accessed: January 13, 2024.

5. Hypeair: a novel framework for real-time low-cost sensor calibration for air quality monitoring in smart cities;Bachechi;Eco. Inform.,2024

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