Autors: Ivanova, D. A., Elenkov, A. S.
Title: Big Data Analytics for Air Quality Monitoring Assessment Based on IoT Platform
Keywords: BIG DATA ANALYTICS, AIR QUALITY, IoT

Abstract: The paper is proposed a machine learning algorithm for IoT platform, Paspberry Pi to predict the values of various pollutants in the air based on big data analytics. The conceptual model of the proposed system and experimental framework is designed for the case of verification and validation of the proposed machine learning model for air quality monitoring and assessment using the datasets for the last five years provided by the Executive Environment Agency (EEA), Ministry of Environment and Water, Bulgaria.

References

  1. Ivanova, Desislava; Elenkov, Angel, 2019, Big Data Analytics for Air Quality Monitoring Assessment Based on IoT Platform, International Journal on Information Technologies and Security, Volume 11, pp. 43-50

Issue

International Journal on Information Technologies and Security, vol. 2, issue 11, pp. 43-50, 2019, Bulgaria, ISSN 1313-8251

Copyright International Journal on Information Technologies and Security

Цитирания (Citation/s):
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Вид: статия в списание, публикация в реферирано издание, индексирана в Web of Science