Prediction of chlorophyll-a as an indicator of harmful algal blooms using deep learning with Bayesian approximation for uncertainty assessment
Ibrahim Busari, Debabrata Sahoo, R.B. Jana
Topics & Concepts
Dropout (neural networks)Mean squared errorEnvironmental scienceAlgal bloomSampling (signal processing)Chlorophyll aChlorophyllWater qualityBayesian probabilityComputer scienceStatisticsMachine learningMathematicsArtificial intelligencePhytoplanktonNutrientEcologyChemistryOrganic chemistryBiologyComputer visionBotanyFilter (signal processing)Hydrological Forecasting Using AIWater Quality Monitoring TechnologiesWater Quality Monitoring and Analysis