Journal of Korean Society of
Water and Wastewater pISSN 1225-7672 | eISSN 2287-822X
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Development of a model to predict water quality using an automated machine learning algorithm View count 234
Journal of the Korean Society of Water and Wastewater :: Vol.36 No.6 pp.329-337
Journal of the Korean Society of Water and Wastewater :: Vol.36 No.4 pp.239-248
Effect of input variable characteristics on the performance of an ensemble machine learning model for algal bloom prediction View count 605
Journal of the Korean Society of Water and Wastewater :: Vol.35 No.6 pp.417-424
Comparative characteristic of ensemble machine learning and deep learning models for turbidity prediction in a river View count 791
Journal of the Korean Society of Water and Wastewater :: Vol.35 No.1 pp.83-91


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