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What is PM2.5 and PM10 Prediction Using LSTM about?

This study investigates the prediction of PM2.5 and PM10 concentrations in air pollution using various machine learning and deep learning models, focusing on data from Maharashtra state between 2019 and 2023. The results indicate that the Long Short-Term Memory (LSTM) model significantly outperforms traditional machine learning models, achieving R2 scores between 0.99 and 0.998, while other models like Random Forest and Decision Tree showed lower accuracy. The findings emphasize the effectiveness of deep le

Author

Paidapati Poojitha

Language

EN