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Su Han Nam

Showing results (1-10 of 5) with videos related to

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The Science of the Total Environment|February 10, 2024
Development of a basin-scale total nitrogen prediction model by integrating clustering and regression methodsSu Han Nam, Siyoon Kwon, Young Do Kim
Toxics|April 28, 2023
Comparison of Optimal Machine Learning Algorithms for Early Detection of Unknown Hazardous Chemicals in Rivers Using Sensor Monitoring DataSu Han Nam, Jae Hyun Kwon, Young Do Kim
Water Science and Technology : a Journal of the International Association on Water Pollution Research|November 14, 2025
Water quality monitoring using hybrid physical-soft sensors for river digital twins: a comprehensive reviewSiyoon Kwon, Yumin Kang, Su Han Nam, et al.
Journal of Contaminant Hydrology|June 15, 2026
A cluster-based virtual sensing framework for estimating total nitrogen and total phosphorus using sensor-measurable water quality variablesYumin Kang, Su Han Nam, Siyoon Kwon, et al.
Toxics|May 27, 2022
Experimental Study on the Detection of Hazardous Chemicals Using Alternative Sensors in the Water EnvironmentSu-Han Nam, Tae-Geom Ku, Ye-Lim Park, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
The Science of the Total Environment|February 10, 2024
Development of a basin-scale total nitrogen prediction model by integrating clustering and regression methodsSu Han Nam, Siyoon Kwon, Young Do Kim
Toxics|April 28, 2023
Comparison of Optimal Machine Learning Algorithms for Early Detection of Unknown Hazardous Chemicals in Rivers Using Sensor Monitoring DataSu Han Nam, Jae Hyun Kwon, Young Do Kim
Water Science and Technology : a Journal of the International Association on Water Pollution Research|November 14, 2025
Water quality monitoring using hybrid physical-soft sensors for river digital twins: a comprehensive reviewSiyoon Kwon, Yumin Kang, Su Han Nam, et al.
Journal of Contaminant Hydrology|June 15, 2026
A cluster-based virtual sensing framework for estimating total nitrogen and total phosphorus using sensor-measurable water quality variablesYumin Kang, Su Han Nam, Siyoon Kwon, et al.
Toxics|May 27, 2022
Experimental Study on the Detection of Hazardous Chemicals Using Alternative Sensors in the Water EnvironmentSu-Han Nam, Tae-Geom Ku, Ye-Lim Park, et al.
Pageof 1