PREDICTION OF POLLUTANT CONCENTRATIONS BY METEOROLOGICAL DATA USING MACHINE LEARNING ALGORITHMS

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2. Predicting sulfur dioxide deposition in microclimates using machine learning and reanalysis data V. Geremias et al.
3. Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions D. Olawade et al.
4. Effect of traffic data set on various machine-learning algorithms when forecasting air quality I. Sulaimon et al.
5. Impact of broader ecological and socio‐environmental components on Aedes mosquito population dynamics: a spatial–temporal longitudinal study Y. Wang et al.
6. Comparative analysis of machine learning algorithms for air quality index prediction T. Desai et al.
7. Ensemble-based classification approach for PM2.5 concentration forecasting using meteorological data S. Saminathan & C. Malathy