A robust and explainable deep learning model based on an LSTM-CNN framework for reliable FDOM prediction in water quality monitoring: Incorporating SHAP analysis for enhanced interpretability
Meysam Alizamir, Salim Heddam, Sungwon Kim
Topics & Concepts
InterpretabilityArtificial intelligenceDeep learningComputer scienceQuality (philosophy)Machine learningWater qualityData miningPhilosophyEcologyBiologyEpistemologyHydrological Forecasting Using AIWater Quality Monitoring TechnologiesAir Quality Monitoring and Forecasting