Study and Implementation of AQI Predictive Recommendation System Based on Artificial Intelligence
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7649-2_23
Reference15 articles.
1. Bui, L.T., Nguyen, P.H.: Evaluation of the annual economic costs associated with pm2. 5-based health damage: a case study in Ho Chi Minh City, Vietnam. Air Qual. Atmos. Health 16(3), 415–435 (2023)
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3. Jiao, Y., Wang, Z., Zhang, Y.: Prediction of air quality index based on LSTM. In: 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), pp. 17–20. IEEE (2019)
4. Sethi, J.K., Mittal, M.: An efficient correlation based adaptive lasso regression method for air quality index prediction. Earth Sci. Inf. 14(4), 1777–1786 (2021)
5. Huang, Y., Ying, J.J.-C., Tseng, V.S.: Spatio-attention embedded recurrent neural network for air quality prediction. Knowl. Based Syst. 233, 107416 (2021). https://doi.org/10.1016/j.knosys.2021.107416
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