Archetypal analysis of activated sludge microbiomes from two WRRFs identifies three archetypes whose state space aligns with binary N2O emission states in an unsupervised manner.
and Van Voorthuizen, Ellen M
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Machine learning soft-sensor models predict N2O emissions in wastewater plants with high accuracy but remain limited by measurement location and dataset uncertainty, while mechanistic analysis reveals pathway interactions that bias N2O estimates.
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Enhancing the interpretability of spatially variable N2O model predictions with soft sensors during wastewater treatment
Machine learning soft-sensor models predict N2O emissions in wastewater plants with high accuracy but remain limited by measurement location and dataset uncertainty, while mechanistic analysis reveals pathway interactions that bias N2O estimates.