Simulation of WSN for Air Particulate Matter Measurements
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-69551-4_23
Reference12 articles.
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3. De Vito S, Esposito E, Formisano F, Massera E, Auria PD, Di Francia G (2019) Adaptive machine learning for backup air quality multisensor systems continuous calibration. In: ISOEN 2019—18th international symposium on olfaction and electronic nose, proceedings, May 2019. https://doi.org/10.1109/ISOEN.2019.8823250
4. Capriglione D, Carratù M, Ferro M, Pietrosanto A, Sommella P (2019) Estimating the Outdoor PM10 concentration through wireless sensor network for smart metering. In: Baldini F, Siciliano P, Rossi M, Scalise L, Di Natale C, Ferrari V, Militello V, Miolo G, Ando B, Marletta V, Marrazza G (eds) Sensors. Lecture notes in electrical engineering. Springer, pp 399–404. ISBN: 9783030043230. https://doi.org/10.1007/978-3-030-04324-7_49
5. Colace F, Lombardi M, Pascale F, Santaniello D (2018) A multilevel graph representation for big data interpretation in real scenarios. In: 2018 3rd international conference on system reliability and safety (ICSRS). IEEE, pp 40–47
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