… This paper aims to review the articles related to air pollution prediction in smart cities using
machine learning techniques, to make a comparison of methodologies that different authors …

… the database collected based on Air Pollution in Delhi, which is the most polluted state in
India. The purpose of this research work is to predict the future Air Quality Index value with the …

… learning methods for prediction of IoT … smart city data. We propose a novel model based on
Long Short Term Memory (LSTM) networks to predict future values of air quality in a smart city…

… Air pollution prediction problem has been solved in the past using statistical linear methods
… to analyze the air quality of these cities. However, prediction and future data processing is …

… Although many prediction systems have been researched and modelled, many of them …
that air pollution has on each individual citizen. Hence, we present a novel context prediction …

… learning methods in the air pollution prediction problem, we validated the practicality and
feasibility of the proposed model in \(PM_{2.5}\) concentration prediction by comparing the …

… predicting air quality in smart cities has been analyzed [4]. This paper outlines air pollution
prediction … the best technique for accuracy in predicting air quality with the aspect of data size …

… work recommendations, we explore diverse machine-learning approaches for predicting air
quality and air pollution in smart cities. Additionally, investigating the effect of meteorological …

… In this paper, our aim is to predict the AQI in smart cities by using Fuzzy … pollution concentration
in smart cities is highly uncertain, we propose FIS to predict the uncertainity in air quality …

… air quality in a particular time interval. The proposed model will then be able to predict the air
quality for future … users to check and understand the air quality at their current location. The …