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Air quality prediction and modelling plays a pivotal role in public health and environment management, for individuals and authorities to make informed decisions.
Introduction to atmospheric chemistry
Daniel J Jacob · 1999
Earlier work this paper cites.
Modelling air quality in street canyons: a review
Sotiris Vardoulakis, Bernard EA Fisher, Koulis Pericleous, and Norbert Gonzalez-Flesca · 2003
Earlier work this paper cites.
Application of gaussian plume models for air pollution simulation at instantaneous emissions
N Kh Arystanbekova · 2004
Earlier work this paper cites.
On the prediction of air and pollutant exchange rates in street canyons of different aspect ratios using large-eddy simulation
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Earlier work this paper cites.
Air pollution modeling–an overview
Aaron Daly and Paolo Zannetti · 2007
Earlier work this paper cites.
Doe fundamentals handbook: thermodynamics, heat transfer, and fluid flow
JI Lienhard and J Lienhard · 2008
Earlier work this paper cites.
Diffusion: mass transfer in fluid systems
Edward Lansing Cussler · 2009
Earlier work this paper cites.
Discrete calculus: History and future
Leo J Grady, Jonathan R Polimeni, Leo J Grady, and Jonathan R Polimeni · 2010
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Nonlinear air quality modeling using support vector machines in gijón urban area (northern spain) at local scale
Ana Suárez Sánchez, Paulino José García Nieto, Francisco Javier Iglesias-Rodríguez, and José Antonio Vilán Vilán · 2013
Earlier work this paper cites.
Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
Earlier work this paper cites.
Fick’s laws of diffusion
Aloke Paul, Tomi Laurila, Vesa Vuorinen, Sergiy V Divinski, Aloke Paul, Tomi Laurila, Vesa Vuorinen, and Sergiy V Divinski · 2014
Earlier work this paper cites.
The quiet revolution of numerical weather prediction
Peter Bauer, Alan Thorpe, and Gilbert Brunet · 2015
Earlier work this paper cites.
Advection on graphs
Airlie Chapman and Airlie Chapman · 2015
Earlier work this paper cites.
Forecasting fine-grained air quality based on big data
Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, and Tianrui Li · 2015
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Geometric deep learning: going beyond euclidean data
Michael M Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst · 2017
Cited alongside, same era.
Diffusion convolutional recurrent neural network: Data-driven traffic forecasting
Yaguang Li, Rose Yu, Cyrus Shahabi, and Yan Liu · 2017
Cited alongside, same era.
Maziar Raissi, Paris Perdikaris, and George Em Karniadakis · 2017
Cited alongside, same era.
Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting
Bing Yu, Haoteng Yin, and Zhanxing Zhu · 2017
Joint air quality and weather prediction based on multi-adversarial spatiotemporal networks
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Later among the works it cites.
Discrete graph structure learning for forecasting multiple time series
Chao Shang, Jie Chen, and Jinbo Bi · 2021
Later among the works it cites.
Stden: Towards physics-guided neural networks for traffic flow prediction
Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, and Hu Zhang · 2022
Later among the works it cites.
Physics-informed graph learning
Ciyuan Peng, Feng Xia, Vidya Saikrishna, and Huan Liu · 2022
Later among the works it cites.
Air pollution prediction via graph attention network and gated recurrent unit
Shun Wang, Lin Qiao, Wei Fang, Guodong Jing, Victor S Sheng, and Yong Zhang · 2022
Later among the works it cites.
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Neural ordinary differential equations
Ricky TQ Chen, Yulia Rubanova, Jesse Bettencourt, and David K Duvenaud · 2018
Cited alongside, same era.
Physics guided rnns for modeling dynamical systems: A case study in simulating lake temperature profiles
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan Read, Jacob Zwart, Michael Steinbach, and Vipin Kumar · 2019
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Accuair: Winning solution to air quality prediction for kdd cup 2018
Zhipeng Luo, Jianqiang Huang, Ke Hu, Xue Li, and Peng Zhang · 2019
Cited alongside, same era.
Latent ordinary differential equations for irregularly-sampled time series
Yulia Rubanova, Ricky TQ Chen, and David K Duvenaud · 2019
Cited alongside, same era.
The ECMWF scalability programme: Progress and plans
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Cited alongside, same era.
Interpretable spatiotemporal deep learning model for traffic flow prediction based on potential energy fields
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Learning long-term dependencies in irregularly-sampled time series
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Cited alongside, same era.
Kill two birds with one stone: A multi-view multi-adversarial learning approach for joint air quality and weather prediction
Jindong Han, Hao Liu, Hengshu Zhu, and Hui Xiong · 2023
Later among the works it cites.
Spatio-temporal self-supervised learning for traffic flow prediction
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Later among the works it cites.
Air pollution and cardiovascular heath in a changing climate, 2023
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Physics-informed deep learning to reduce the bias in joint prediction of nitrogen oxides
Lianfa Li, Roxana Khalili, Frederick Lurmann, Nathan Pavlovic, Jun Wu, Yan Xu, Yisi Liu, Karl O’Sharkey, Beate Ritz, Luke Oman, et al · 2023
Later among the works it cites.
Airformer: Predicting nationwide air quality in china with transformers
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Later among the works it cites.
Novel physics-based machine-learning models for indoor air quality approximations
Ahmad Mohammadshirazi, Aida Nadafian, Amin Karimi Monsefi, Mohammad H Rafiei, and Rajiv Ramnath · 2023
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A novel aqi forecasting method based on fusing temporal correlation forecasting with spatial correlation forecasting
Mengshuai Su, Hui Liu, Chengqing Yu, and Zhu Duan · 2023
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Traffic flow prediction based on spatiotemporal potential energy fields
Jingyuan Wang, Jiahao Ji, Zhe Jiang, and Leilei Sun · 2023
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