Machine Learning Approach for Predicting Air Quality Index
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9681917/9681918/09682221.pdf?arnumber=9682221
Reference19 articles.
1. Concentration Prediction of Air Pollutants in Tehran
2. Estimation of Air Pollution in Delhi Using Machine Learning Techniques
3. A hybrid model for online prediction of PM2: 5 concentration: A case study;sadabadi;Scientia Iranica,2021
4. Artificial neural networks based air pollution monitoring in industrial sites
5. Particulate matter prediction using ANFIS modelling techniques
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1. Forecasting India’s Air Quality: A Machine Learning Approach for Comprehensive Analysis and Prediction;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21
2. Influence of pollution control measures on the reduction of black carbon in an urban site of megacity, Tianjin, China based on ground-monitored and MERRA-2 reanalysis data;Science of The Total Environment;2024-02
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4. Can Machine Learning Models be Used to Predict Pollutants based on Measured Other Pollutants?;2023 IEEE International Conference on Electro Information Technology (eIT);2023-05-18
5. Determining Air Pollution Level with Machine Learning Algorithms: The Case of India;4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering;2023
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