Air quality modelling using long short-term memory (LSTM) over NCT-Delhi, India

Author:

Krishan Mrigank,Jha Srinidhi,Das Jew,Singh Avantika,Goyal Manish Kumar,Sekar Chandrra

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Atmospheric Science,Pollution

Reference43 articles.

1. Ahn J, Shin D, Kim K, Yang J (2017) Indoor air quality analysis using deep learning with sensor data. Sensors 17:2476

2. Almaraz M, Bai E, Wang C, Trousdell J, Conley S, Faloona I, Houlton BZ (2018) Agriculture is a major source of NOx pollution in California. Sci Adv 4:eaao3477. https://doi.org/10.1126/sciadv.aao3477

3. Athanasiadis IN, Kaburlasos VG, Mitkas PA, Petridis V (2003) Applying machine learning techniques on air quality data for real-time decision support. In: First international NAISO symposium on information technologies in environmental engineering (ITEE’2003), Gdansk, Poland. Citeseer

4. Automotive Research Association of India (2007) Air quality monitoring project-Indian clean air programme (ICAP). Draft Rep. on emission factor development for Indian vehicles, Pune

5. Bao W, Yue J, Rao Y (2017) A deep learning framework for financial time series using stacked autoencoders and long-short term memory. PLoS One 12:e0180944

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