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The Transactions of
the Korean Institute of Electrical Engineers
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The Transactions of the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2025-05
(Vol.74 No.05)
10.5370/KIEE.2025.74.5.942
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References
1
Kumar, M.D. & Tortajada, C., Case Studies on Performance of Wastewater Treatment Systems, In Assessing Wastewater Management in India. Springer, Singapore. pp. 234-237, 2020. https://doi.org/10.1007
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Arias, I. & Fernández, C., “A Recurrent Neural Network for Wastewater Treatment Plant Effluents' Prediction,” In Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp. 619-631, 2020. https://doi.org/10.1007
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Eui-Seok Nahm, “A Study on Validity Verification of Input/Output Process Data and Energy Saving in Water Treatment System Using Calibration,” The Transactions of the Korean Institute of Electrical Engineers, vol. 69, no. 1, pp. 177-183, 2020. https://orcid.org/0000-0003-3964-9643
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Eui-Seok Nahm, “A Study on Fuzzy Control Method of Energy Saving for Activated Sludge Process in Sewage Treatment Plant,” The Transactions of the Korean Institute of Electrical Engineers, vol. 67, no. 11, pp. 1477-1485, 2018.
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Eui-Seok Nahm, “A Study on Modeling of Activated Sludge Process in Wastewater Treatment System Utilizing XAI(eXplainable AI),” The Transactions of the Korean Institute of Electrical Engineers, vol. 72, no. 2, pp. 263-269, 2023. https://orcid.org/0000-0003-3964-9643
11
Le Song, Eran Segal, Eric Xing, “Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels,” arXiv preprint arXiv:2412.06993, 2024. https://doi.org/10.48550/arXiv.2412.06993