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Clustering micropollutants and estimating rate constants of sorption and biodegradation using machine learning approaches

Environmental Studies and Forestry

Clustering micropollutants and estimating rate constants of sorption and biodegradation using machine learning approaches

S. J. Lim, J. Seo, et al.

This study harnesses the power of machine learning to cluster micropollutants in wastewater, accurately estimating their sorption and biodegradation rate constants. Conducted by Seung Ji Lim and colleagues, this innovative approach improves monitoring of environmental contaminants, achieving significantly higher accuracy than past methods.

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