Improved $NO_2$ Prediction Using Machine Learning Algorithms

This publication has 17 references indexed in Scilit:

• Application, interpretability and prediction of machine learning method combined with LSTM and LightGBM-a case study for runoff simulation in an arid area
  Journal of Hydrology, 2023
• Time-sensitive prediction of NO2 concentration in China using an ensemble machine learning model from multi-source data
  Journal of Environmental Sciences, 2023
• Forecasting the concentration of NO2 using statistical and machine learning methods: A case study in the UAE
  Heliyon, 2022
• A comparison of statistical and machine-learning approaches for spatiotemporal modeling of nitrogen dioxide across Switzerland
  Atmospheric Pollution Research, 2022
• Machine learning-based estimation of ground-level NO2 concentrations over China
  Science of The Total Environment, 2022
• Research on Air Quality Prediction Based on Machine Learning
  2021
• Forecasting of particulate matter with a hybrid ARIMA model based on wavelet transformation and seasonal adjustment
  Urban Climate, 2021
• Global mortality from outdoor fine particle pollution generated by fossil fuel combustion: Results from GEOS-Chem
  Environmental Research, 2021
• Air quality prediction at new stations using spatially transferred bi-directional long short-term memory network
  Science of The Total Environment, 2020
• A random forest partition model for predicting NO2 concentrations from traffic flow and meteorological conditions
  Science of The Total Environment, 2019