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Clustering micropollutants and estimating rate constants of sorption and biodegradation using machine learning approaches
Environmental Studies and Forestrynpj Clean Water

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.... show more
Introduction
Literature Review
Methodology
Key Findings
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Conclusion
Limitations
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