Sustainable optimized LSTM-based intelligent system for air quality prediction in Chennai

Author:

Gunasekar Sridhar,Joselin Retna Kumar Gnanaseelan,Dileep Kumar Yellapalli

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Reference24 articles.

1. (2020) 7 Million premature deaths annually linked to air pollution [Online; accessed 22-August-2020]. [Online]. Available: https://www.who.int/mediacentre/news/releases/2014/air-pollution/en/

2. Chang YS, Chiao HT, Abimannan S, Huang YP, Tsai YT, Lin KM (2020) An LSTM-based aggregated model for air pollution forecasting. Atmos Pollut Res 11(8):1451–1463. https://doi.org/10.1016/j.apr.2020.05.015

3. Cusworth DH, Mickley LJ, Sulprizio MP, Liu T, Marlier ME, DeFries RS, Guttikunda SK, Gupta P (2018) Quantifying the influence of agricultural fires in northwest india on urban air pollution in Chennai, India. Environ Res Lett 13(4):044018

4. Defferrard M, Bresson X, Vandergheynst P (2016) Convolutional neural networks on graphs with fast localized spectral filtering. Adv Neural Inf Process Syst 29:3844–3852

5. Desa U (2015) United nations department of economic and social a_airs, population division. world population prospects: the 2015 revision, key findings and advance tables in technical report: Working Paper No. ESA/P/WP. p. 241

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