Water environment research : a research publication of the Water Environment FederationDeep LearningChlorophyll ARiversArtificial IntelligenceEnvironmental Monitoring
Interpreting the Effect of Generative Adversarial Network Application on Deep Learning Model Performance for Chlorophyll-a Concentration Prediction in a Stream Using Explainable Artificial Intelligence.
Jungsu Park, Woo Hyoung Lee, Ilsuk Kang, Tae-Young Heo
Published: 202610.1002/wer.70247
Abstract
Predicting algal blooms is crucial for effective water quality management. Recent studies have leveraged advanced data-driven models, such as deep learning, for this purpose. However, the effectiveness of these models heavily relies on the availabili…
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