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Development of transparent high-frequency soft sensor of total nitrogen and total phosphorus concentrations in rivers using stacked convolutional auto-encoder and explainable AI

Abdulrahman H. Ba-Alawi, SungKu Heo, Hanaa Aamer, Roberto Chang, TaeYong Woo, MinHan Kim, ChangKyoo Yoo

2023Journal of Water Process Engineering27 citationsDOI

Topics & Concepts

InterpretabilityComputer scienceWater qualityAutoencoderTrustworthinessEutrophicationArtificial intelligenceData miningMachine learningEnvironmental scienceReal-time computingReliability engineeringEngineeringChemistryDeep learningEcologyNutrientBiologyOrganic chemistryComputer securityWater Quality Monitoring TechnologiesHydrological Forecasting Using AIWater Quality Monitoring and Analysis
Development of transparent high-frequency soft sensor of total nitrogen and total phosphorus concentrations in rivers using stacked convolutional auto-encoder and explainable AI | Litcius