Quantifying uncertainty: Air quality forecasting based on dynamic spatial-temporal denoising diffusion probabilistic model

Kehua Chen; Guangbo Li; Hewen Li; Yuqi Wang; Wenzhe Wang; Qingyi Liu; Hong‐Cheng Wang

doi:10.1016/j.envres.2024.118438

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Quantifying uncertainty: Air quality forecasting based on dynamic spatial-temporal denoising diffusion probabilistic model

Kehua Chen Guangbo Li Hewen Li Yuqi Wang Wenzhe Wang Qingyi Liu Hong‐Cheng Wang

Year: 2024 Journal: Environmental Research Vol: 249 Pages: 118438-118438 Publisher: Elsevier BV

DOI: 10.1016/j.envres.2024.118438

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Keywords:

Computer science Probabilistic logic Context (archaeology) Air quality index Artificial intelligence Machine learning Data mining Meteorology Geography

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Topics

Air Quality Monitoring and Forecasting

Physical Sciences → Environmental Science → Environmental Engineering

Air Quality and Health Impacts

Physical Sciences → Environmental Science → Health, Toxicology and Mutagenesis

Vehicle emissions and performance

Physical Sciences → Engineering → Automotive Engineering

Quantifying uncertainty: Air quality forecasting based on dynamic spatial-temporal denoising diffusion probabilistic model

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