An integrated framework for predicting air quality index using pollutant concentration and meteorological data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17432-0.pdf
Reference52 articles.
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2. Bhatia S, Sachdeva S, Goswami P (Oct. 2022) Air pollution prediction and hotspot detection using machine learning. J Stat Manage Syst 25(7):1553–1564. https://doi.org/10.1080/09720510.2022.2130568
3. Shaban KB, Kadri A, Rezk E (2016) Urban air pollution monitoring system with forecasting models. IEEE Sensors J 16(8):2598–2606. https://doi.org/10.1109/JSEN.2016.2514378
4. Zhou Y, De S, Ewa G, Perera C, Moessner K (2018) Data-driven air quality characterization for urban environments: A case study. IEEE Access 6:77996–78006. https://doi.org/10.1109/ACCESS.2018.2884647
5. Tao Q, Liu F, Li Y, Sidorov D (2019) Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU. IEEE Access 7:76690–76698. https://doi.org/10.1109/ACCESS.2019.2921578
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