Artificial intelligence model helps produce clean water
- Dr. Son Moon's team at the Korea Institute of Science and Technology and Professor Baek Sang-Soo's team at Yeongnam University developed an AI model to predict ion concentrations in water treatment.
- The random forest-based AI model predicted electrical conductivity and ion concentrations effectively, achieving an R2 of approximately 0.9.
- Updates were needed every 20–80 seconds for accuracy, requiring water quality measurements at least every minute for national networks.
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