Explainable hybrid modeling of nitrous oxide emissions in wastewater treatment: Integrating mechanistic knowledge with uncertainty-aware machine learning.

Mechanistic models for nitrous oxide (N2O) emissions from wastewater treatment plants often suffer from over-parameterization, while machine-learning lacks interpretability. To address these limitations, this study introduces a novel explainable hybr…

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