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An attention-based domain spatial-temporal meta-learning (ADST-ML) approach for PM2.5 concentration dynamics prediction

Xingyu Yang, Zhongrong Zhang

2022Urban Climate16 citationsDOI

Topics & Concepts

Dynamics (music)Environmental scienceDomain (mathematical analysis)Computer scienceMathematicsPsychologyPedagogyMathematical analysisAir Quality Monitoring and ForecastingAir Quality and Health ImpactsAtmospheric chemistry and aerosols
An attention-based domain spatial-temporal meta-learning (ADST-ML) approach for PM2.5 concentration dynamics prediction | Litcius