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A Global Multiunit Calibration as a Method for Large-Scale IoT Particulate Matter Monitoring Systems Deployments.

, , , , , , , и . IEEE Trans. Instrum. Meas., (2024)

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Saverio Giallorenzo

Laurence Victor Vito

Saverio Perugini

Vito Giustiniani

Vito Pinto

 

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Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices., , , , , и . Pattern Recognit. Lett., (2020)A Wearable Low-Power Sensing Platform for Environmental and Health Monitoring: The Convergence Project., , , , , , , , , и 13 other автор(ы). Sensors, 21 (5): 1802 (2021)Stochastic Comparison of Machine Learning Approaches to Calibration of Mobile Air Quality Monitors., , , , , , и . Sensors, том 431 из Lecture Notes in Electrical Engineering, стр. 294-302. Springer, (2016)Optimal Field Calibration of Multiple IoT Low Cost Air Quality Monitors: Setup and Results., , , , , , , и . ICCSA (5), том 12253 из Lecture Notes in Computer Science, стр. 700-708. Springer, (2020)A Global Multi-Unit Calibration as a Method for Large Scale IoT Particulate Matter Monitoring Systems Deployments., , , , , , , и . CoRR, (2023)Artificial intelligence for distributed smart systems., , , и . Pattern Recognit. Lett., (2021)Influence of Concept Drift on Metrological Performance of Low-Cost NO2 Sensors., , , , , , и . IEEE Trans. Instrum. Meas., (2022)An UAV Mounted Intelligent Monitoring System for Impromptu Air Quality Assessments., , , , , , , , , и . Sensors, том 539 из Lecture Notes in Electrical Engineering, стр. 497-506. Springer, (2018)Computational Intelligence for Smart Air Quality Monitors Calibration., , , , и . ICCSA (3), том 10406 из Lecture Notes in Computer Science, стр. 443-454. Springer, (2017)Hyper resoluted Air Quality maps in urban environment with crowdsensed data from intelligent low cost sensors., , , , , , , , и . ISOEN, стр. 1-4. IEEE, (2022)