|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.
Вид: статия в списание, публикация в реферирано издание, индексирана в Web of Science