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Application of machine learning in water industry: A review
Journal of the Korean Society of Water and Wastewater :: Vol.36 No.1 pp.9-21
DOI:https://doi.org/10.11001/jksww.2022.36.1.9
Open abstract -
Journal of the Korean Society of Water and Wastewater :: Vol.35 No.6 pp.417-424
DOI:https://doi.org/10.11001/jksww.2021.35.6.417
Open abstract -
Journal of the Korean Society of Water and Wastewater :: Vol.35 No.6 pp.507-516
DOI:https://doi.org/10.11001/jksww.2021.35.6.507
Open abstract -
Development of benthic macroinvertebrate species distribution models using the Bayesian optimization
Journal of the Korean Society of Water and Wastewater :: Vol.35 No.4 pp.259-275
DOI:https://doi.org/10.11001/jksww.2021.35.4.259
Open abstract -
Journal of the Korean Society of Water and Wastewater :: Vol.35 No.1 pp.83-91
DOI:https://doi.org/10.11001/jksww.2021.35.1.083
Open abstract -
Journal of the Korean Society of Water and Wastewater :: Vol.34 No.4 pp.277-288
DOI:https://doi.org/10.11001/jksww.2020.34.4.277
Open abstract -
Prediction of high turbidity in rivers using LSTM algorithm
Journal of the Korean Society of Water and Wastewater :: Vol.34 No.1 pp.35-43
DOI:https://doi.org/10.11001/jksww.2020.34.1.035
Open abstract