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

, , , , , , , and . CoRR, (2023)

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