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Dive into the research topics where Ja-Yong Koo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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System-level total nitrogen prediction in MLE wastewater treatment using a modular merged LSTM framework
Kim, T., Park, J., Oh, Y., Park, H., Koo, J., Kim, M. & Cha, Y., Jan 2026, In: Journal of Water Process Engineering. 81, 109202.Research output: Contribution to journal › Article › peer-review
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An interpretable machine learning-based pitting corrosion depth prediction model for steel drinking water pipelines
Kim, T., Kim, K., Hyung, J., Park, H., Oh, Y. & Koo, J., Oct 2024, In: Process Safety and Environmental Protection. 190, p. 571-585 15 p.Research output: Contribution to journal › Article › peer-review
22 Scopus citations -
Development of die drawing design factor prediction models for trenchless rehabilitation of water pipes: a case study
Oh, Y., Park, H., Kim, K., Kim, T., Hyung, J. & Koo, J., 1 Jun 2024, In: Aqua Water Infrastructure, Ecosystems and Society. 73, 6, p. 1190-1204 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Optimal leakage detection and classification of the water distribution network based on the machine learning approach
Park, H. K., Oh, Y. J., Kim, K., Kim, T., Hyung, J. & Koo, J., 1 Jun 2024, In: Water Supply. 24, 6, p. 2158-2171 14 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Optimization of long-term renewal investment plan for drinking water conveyance networks using dynamic programming
Kim, K., Kim, T., Kang, K. & Koo, J., 1 Dec 2024, In: Aqua Water Infrastructure, Ecosystems and Society. 73, 12, p. 2344-2360 17 p.Research output: Contribution to journal › Article › peer-review
Open Access