Research graph
References from MIST-Net: A heterogeneous spatiotemporal network for regional ozone forecasting robust to sparse data. Local targets link to admitted publications; unresolved targets remain external evidence.
MPD: a meteorological and pollution dataset: a comprehensive study of machine and deep learning methods for air pollution forecasting
10.1109/access.2025.3547038 · 2025 · External reference
Unresolved reference
2022 · External reference
Is attention explanation? An introduction to the debate
2022 · External reference
Unresolved reference
2018 · External reference
Unresolved reference
External reference
The impact of Los Angeles basin pollution and stratospheric intrusions on the surrounding San Gabriel Mountains as seen by surface measurements, lidar, and numerical models
10.5194/acp-21-6129-2021 · 2021 · External reference
Analysis of summer O3 in the Madrid air basin with the LOTOS-EUROS chemical transport model
10.5194/acp-19-14211-2019 · 2019 · External reference
An integrated 3D CNN-GRU deep learning method for short-term prediction of PM2.5 concentration in urban environment
10.1016/j.scitotenv.2022.155324 · 2022 · External reference
Economic losses due to ozone impacts on human health, forest productivity and crop yield across China
10.1016/j.envint.2019.104966 · 2019 · External reference
Climate change penalty to ozone air quality: review of current understandings and knowledge gaps
10.1007/s40726-019-00115-6 · 2019 · External reference
A review of the CAMx, CMAQ, WRF-chem and NAQPMS models: application, evaluation and uncertainty factors
10.1016/j.envpol.2023.123183 · 2024 · External reference
Semi-supervised air quality forecasting via self-supervised hierarchical graph neural network
10.1109/tkde.2022.3149815 · 2023 · External reference
Detailed inventory of the evaporative emissions from parked gasoline vehicles and an evaluation of their atmospheric impact in Japan
10.1021/acs.est.9b06539 · 2020 · External reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
Hourly ozone level prediction based on the characterization of its periodic behavior via deep learning
10.1016/j.psep.2023.03.059 · 2023 · External reference
Effects of ship emissions on air quality in the Baltic sea region simulated with three different chemistry transport models
10.5194/acp-19-7019-2019 · 2019 · External reference
Autoregressive models in environmental forecasting time series: a theoretical and application review
10.1007/s11356-023-25148-9 · 2023 · External reference
Comprehensive review of neural network-based prediction intervals and new advances
10.1109/tnn.2011.2162110 · 2011 · External reference
Simple and scalable predictive uncertainty estimation using deep ensembles
2017 · External reference
A local scale analysis on influencing factors of NO x emissions: evidence from the community of Madrid, Spain
10.1016/j.enpol.2014.06.012 · 2014 · External reference
An efficient modern convolution-based dynamic spatiotemporal deep learning architecture for ozone prediction
10.1016/j.envsoft.2025.106424 · 2025 · External reference
Unresolved reference
External reference
Exploiting spatiotemporal patterns for accurate air quality forecasting using deep learning
2018 · External reference
Influence of the origin of the air mass on the background levels of atmospheric particulate matter and secondary inorganic compounds in the Madrid air basin
10.1007/s11356-019-06205-8 · 2019 · External reference
Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction
10.1016/j.jksuci.2022.04.003 · 2022 · External reference
Air quality and health co-benefits of vehicle electrification and emission controls in the most populated United States urban hubs: insights from New York, Los Angeles, Chicago, and Houston
10.1016/j.scitotenv.2023.169577 · 2024 · External reference
A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory
10.1016/j.scitotenv.2019.01.333 · 2019 · External reference
Air quality strategies and technologies: a rapid review of the international evidence
10.3390/su11102757 · 2019 · External reference
Machine learning approaches for outdoor air quality modelling: a systematic review
10.3390/app8122570 · 2018 · External reference
Global heatwaves: a scoping review on the trend, characteristics, impacts on air pollution and health
10.1016/j.envres.2025.122976 · 2025 · External reference
Masked label prediction: unified message passing model for semi-supervised classification
2021 · External reference
Observation-based analysis of ozone production sensitivity for two persistent ozone episodes in Guangdong, China
10.5194/acp-22-8403-2022 · 2022 · External reference
Nationwide air pollution forecasting with heterogeneous graph neural networks
10.1145/3637492 · 2024 · External reference
Deep learning PM2.5 concentrations with bidirectional LSTM RNN
10.1007/s11869-018-0647-4 · 2019 · External reference
Attention is all you need
2017 · External reference
A hybrid spatiotemporal model combining graph attention network and gated recurrent unit for regional composite air pollution prediction and collaborative control
10.1016/j.scs.2024.105925 · 2024 · External reference
Advances in spatiotemporal graph neural network prediction research
10.1080/17538947.2023.2220610 · 2023 · External reference
A comprehensive survey on graph neural networks
10.1109/tnnls.2020.2978386 · 2021 · External reference
Unresolved reference
2019 · External reference
The diurnal cycle of summer tropospheric ozone concentrations across Chinese cities: spatial patterns and main drivers
10.1016/j.envpol.2021.117547 · 2021 · External reference
Seasonal variations of O3 formation mechanism and atmospheric photochemical reactivity during severe high O3 pollution episodes in the Pearl River Delta region
10.1016/j.atmosenv.2023.119918 · 2023 · External reference
Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates
10.5194/acp-17-9869-2017 · 2017 · External reference
Probing into regional ozone and particulate matter pollution in the United States: 1. A 1 year CMAQ simulation and evaluation using surface and satellite data
2009 · External reference
A systematic survey of air quality prediction based on deep learning
10.1016/j.aej.2024.03.031 · 2024 · External reference
Ambient ozone exposure and global child health: a systematic review of epidemiological studies
10.1111/apa.70293 · 2025 · External reference
