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Feature multi-level attention spatio-temporal graph residual network: A novel approach to ammonia nitrogen concentration prediction in water bodies by integrating external influences and spatio-temporal correlations

Hongqing Wang, Lifu Zhang, Hongying Zhao, Rong Wu, Xuejian Sun, Yi Cen, Linshan Zhang

2023The Science of The Total Environment13 citationsDOI

Topics & Concepts

ResidualWater qualityComputer scienceGraphFeature (linguistics)Data miningEnvironmental scienceArtificial intelligenceMachine learningAlgorithmTheoretical computer scienceBiologyLinguisticsPhilosophyEcologyWater Quality Monitoring TechnologiesHydrological Forecasting Using AIAir Quality Monitoring and Forecasting
Feature multi-level attention spatio-temporal graph residual network: A novel approach to ammonia nitrogen concentration prediction in water bodies by integrating external influences and spatio-temporal correlations | Litcius