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References

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Adadi, A. & Berrada, M., “Peeking inside the black-box: A survey on explainable artificial intelligence (XAI),” IEEE Access, vol. 6, pp. 52138-52160, 2018. https://doi.org/10.1109/ACCESS.2018.2870052DOI
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Ghosh, S. & Balaji, P., “Explainable AI for process industries: A comprehensive review,” Journal of Process Control, vol. 55, no. 5, pp. 3503-3568, 2021. https://doi.org/10.1007/s10462-021-10088-yDOI
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Achari, G., Wang, Z., Bae, S. & Ye, S., “A review of AI-driven control strategies in the activated sludge process with emphasis on aeration control,” Water, vol. 16, no. 2, pp 305-306, 2024. https://doi.org/10.3390DOI
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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/0000-0003-3964-9643URL
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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.DOI
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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.2412.06993DOI