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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)

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Exponentially fitted two-step hybrid methods for y″=f(x, y)., , и . J. Comput. Appl. Math., 235 (16): 4888-4897 (2011)Computational Intelligence for Smart Air Quality Monitors Calibration., , , , и . ICCSA (3), том 10406 из Lecture Notes in Computer Science, стр. 443-454. Springer, (2017)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)Hyper resoluted Air Quality maps in urban environment with crowdsensed data from intelligent low cost sensors., , , , , , , , и . ISOEN, стр. 1-4. IEEE, (2022)Der Computer als Medium und Maschine. Zeitschrift f�r Soziologie: ZfS, 22 (5): 338-345 (1993)Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices., , , , , и . CoRR, (2020)Some new uses of the etam(Z) functions., , , и . Comput. Phys. Commun., 181 (1): 128-137 (2010)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)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)Remote Calibration strategies for Low Cost Air Quality Multisensors: a performance comparison., , , , , и . ISOEN, стр. 1-4. IEEE, (2024)