Implementing heuristic-based multiscale depth-wise separable adaptive temporal convolutional network for ambient air quality prediction using real time data
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Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-68793-x.pdf
Reference34 articles.
1. Zhao, G., Huang, G., He, H. & Wang, Q. Innovative spatial-temporal network modeling and analysis method of air quality. IEEE Access 7, 26241–26254 (2019).
2. Gu, K., Qiao, J. & Lin, W. Recurrent air quality predictor based on meteorology-and pollution-related factors. IEEE Trans. Ind. Inform. 14, 3946–3955 (2018).
3. Yi, X. et al. Predicting fine-grained air quality based on deep neural networks. IEEE Trans. Big Data 8, 1326–1339 (2020).
4. Ha, Q. P., Metia, S. & Phung, M. D. Sensing data fusion for enhanced indoor air quality monitoring. IEEE Sens. J. 20, 4430–4441 (2020).
5. Zhang, D. & Woo, S. S. Real time localized air quality monitoring and prediction through mobile and fixed IoT sensing network. IEEE Access 8, 89584–89594 (2020).
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