… Air quality forecasting is very difficult to achieve in metropolitan areas due to: pollutants … the
model to be used limits the air quality prediction accuracy. In this study, the prediction of NO 2 …

… We use machine learning algorithms to analyze data … case study centered on the city of
Bucharest. Leveraging … -powered models can accurately predict key air quality indicators, such as …

… , based on a machine learning approach, inductive learning, that … Air Pollution Forecasting
Air pollution forecasting involves the concentrations levels prediction of the most important air …

… players cooperating to make a prediction. The value computed … of Bucharest surpasses any
other city in this analysis, the … with water and sewage systems, air quality, bike lanes, and the …

… For instance, Kelly, Jang [25] applied statistical methods to fit … research gaps in developing
models for air quality prediction. … deep learning and machine learning for air quality prediction. …

… of air, soil or water quality prediction and have been successfully applied to forecast their
quality. … Through the instrumentality of the deep learning models, we will evaluate the model …

… more efficient in urban areas where air pollution is higher than … , forward regression analysis
was applied to predict daily ozone … level ozone concentration in bucharest, Romania. in 10th …

… five most populated Romanian cities (Bucharest, Iasi, Constanta, … resilience and application
of our ML algorithms in a variety of … other climatic and air pollution factors (eg, thermal fronts, …

… The novelty of this study is in applying four DL and two ML methods in the same work and …
Figure 2 shows the workflow for the air pollution prediction in this study. The study began with …

… The work in [13], [14], [15], [16] uses a machine learning model to predict the air quality …
This research uses air quality data for Bandar Lampung, the capital and largest city of the …